Pandas Profiling Report

Dataset statistics

Number of variables	28
Number of observations	86
Missing cells	34
Missing cells (%)	1.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	18.9 KiB
Average record size in memory	225.5 B

Variable types

Numeric	9
Categorical	19

Alerts

`airdate` has constant value "2020-12-23"	Constant
`url` has a high cardinality: 86 distinct values	High cardinality
`name` has a high cardinality: 74 distinct values	High cardinality
`_embedded_show_url` has a high cardinality: 62 distinct values	High cardinality
`_embedded_show_name` has a high cardinality: 62 distinct values	High cardinality
`_embedded_show_premiered` has a high cardinality: 53 distinct values	High cardinality
`_embedded_show_officialSite` has a high cardinality: 54 distinct values	High cardinality
`_embedded_show_summary` has a high cardinality: 54 distinct values	High cardinality
`_links_self_href` has a high cardinality: 86 distinct values	High cardinality
`season` is highly correlated with `_embedded_show_updated`	High correlation
`number` is highly correlated with `_embedded_show_runtime`	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `number` and 2 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_updated` is highly correlated with `season`	High correlation
`season` is highly correlated with `number` and 2 other fields	High correlation
`number` is highly correlated with `season` and 2 other fields	High correlation
`runtime` is highly correlated with `season` and 3 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `season` and 3 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `summary` and 15 other fields	High correlation
`summary` is highly correlated with `_embedded_show_officialSite` and 9 other fields	High correlation
`_embedded_show_summary` is highly correlated with `_embedded_show_officialSite` and 13 other fields	High correlation
`_embedded_show_type` is highly correlated with `_embedded_show_officialSite` and 7 other fields	High correlation
`_embedded_show_status` is highly correlated with `_embedded_show_officialSite` and 10 other fields	High correlation
`url` is highly correlated with `_embedded_show_officialSite` and 17 other fields	High correlation
`_embedded_show_ended` is highly correlated with `_embedded_show_summary` and 6 other fields	High correlation
`_embedded_show_name` is highly correlated with `_embedded_show_officialSite` and 16 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `_embedded_show_officialSite` and 15 other fields	High correlation
`name` is highly correlated with `url` and 2 other fields	High correlation
`airdate` is highly correlated with `_embedded_show_officialSite` and 17 other fields	High correlation
`airtime` is highly correlated with `_embedded_show_officialSite` and 11 other fields	High correlation
`_links_self_href` is highly correlated with `_embedded_show_officialSite` and 17 other fields	High correlation
`_embedded_show_genres` is highly correlated with `_embedded_show_officialSite` and 9 other fields	High correlation
`type` is highly correlated with `_embedded_show_officialSite` and 11 other fields	High correlation
`_embedded_show_url` is highly correlated with `_embedded_show_officialSite` and 16 other fields	High correlation
`_embedded_show_language` is highly correlated with `_embedded_show_officialSite` and 8 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `_embedded_show_officialSite` and 9 other fields	High correlation
`airstamp` is highly correlated with `_embedded_show_officialSite` and 11 other fields	High correlation
`id` is highly correlated with `url` and 12 other fields	High correlation
`url` is highly correlated with `id` and 25 other fields	High correlation
`name` is highly correlated with `id` and 23 other fields	High correlation
`season` is highly correlated with `url` and 13 other fields	High correlation
`number` is highly correlated with `url` and 14 other fields	High correlation
`type` is highly correlated with `url` and 12 other fields	High correlation
`airtime` is highly correlated with `url` and 19 other fields	High correlation
`airstamp` is highly correlated with `url` and 22 other fields	High correlation
`runtime` is highly correlated with `url` and 20 other fields	High correlation
`summary` is highly correlated with `url` and 14 other fields	High correlation
`_embedded_show_id` is highly correlated with `id` and 21 other fields	High correlation
`_embedded_show_url` is highly correlated with `id` and 25 other fields	High correlation
`_embedded_show_name` is highly correlated with `id` and 25 other fields	High correlation
`_embedded_show_type` is highly correlated with `url` and 19 other fields	High correlation
`_embedded_show_language` is highly correlated with `id` and 20 other fields	High correlation
`_embedded_show_genres` is highly correlated with `id` and 21 other fields	High correlation
`_embedded_show_status` is highly correlated with `url` and 17 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `url` and 21 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `url` and 21 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `id` and 25 other fields	High correlation
`_embedded_show_ended` is highly correlated with `id` and 17 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `id` and 25 other fields	High correlation
`_embedded_show_weight` is highly correlated with `url` and 18 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `url` and 14 other fields	High correlation
`_embedded_show_summary` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_updated` is highly correlated with `id` and 17 other fields	High correlation
`_links_self_href` is highly correlated with `id` and 25 other fields	High correlation
`number` has 4 (4.7%) missing values	Missing
`runtime` has 7 (8.1%) missing values	Missing
`_embedded_show_runtime` has 18 (20.9%) missing values	Missing
`_embedded_show_averageRuntime` has 5 (5.8%) missing values	Missing
`url` is uniformly distributed	Uniform
`name` is uniformly distributed	Uniform
`_links_self_href` is uniformly distributed	Uniform
`id` has unique values	Unique
`url` has unique values	Unique
`_links_self_href` has unique values	Unique

Reproduction

Analysis started	2022-05-10 02:19:18.041184
Analysis finished	2022-05-10 02:19:48.938590
Duration	30.9 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	86
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2034158.558

Minimum	1945147
Maximum	2318111
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	816.0 B

Quantile statistics

Minimum	1945147
5-th percentile	1965935.5
Q1	1987998.5
median	1997667
Q3	2068318.75
95-th percentile	2196123.25
Maximum	2318111
Range	372964
Interquartile range (IQR)	80320.25

Descriptive statistics

Standard deviation	75115.80656
Coefficient of variation (CV)	0.0369272131
Kurtosis	1.900745042
Mean	2034158.558
Median Absolute Deviation (MAD)	19161.5
Skewness	1.537188198
Sum	174937636
Variance	5642384395
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2179614	1	1.2%
1977650	1	1.2%
1988068	1	1.2%
1996397	1	1.2%
1985476	1	1.2%
1985475	1	1.2%
1984957	1	1.2%
1984956	1	1.2%
2129633	1	1.2%
1977651	1	1.2%
Other values (76)	76	88.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1945147	1	1.2%
1945902	1	1.2%
1958575	1	1.2%
1958868	1	1.2%
1964496	1	1.2%
1970254	1	1.2%
1976046	1	1.2%
1976047	1	1.2%
1977331	1	1.2%
1977418	1	1.2%

Value	Count	Frequency (%)
2318111	1	1.2%
2205979	1	1.2%
2205978	1	1.2%
2197598	1	1.2%
2197289	1	1.2%
2192626	1	1.2%
2179614	1	1.2%
2176140	1	1.2%
2166196	1	1.2%
2156015	1	1.2%

url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	86
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	816.0 B

https://www.tvmaze.com/episodes/2179614/kontakty-1x31-kontakty-v-telefone-eldara-dzarahova-morgenshtern-slava-marlow-basta-dana-poperecnyj	1
https://www.tvmaze.com/episodes/1977650/to-love-1x39-episode-39	1
https://www.tvmaze.com/episodes/1988068/forever-love-1x17-episode-17	1
https://www.tvmaze.com/episodes/1996397/the-expanse-aftershow-1x04-shohreh-aghdashloo-dan-nowak	1
https://www.tvmaze.com/episodes/1985476/you-complete-me-1x20-episode-20	1
Other values (81)	81

Length

Max length	138
Median length	102
Mean length	79.44186047
Min length	63

Characters and Unicode

Total characters	6832
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	86 ?
Unique (%)	100.0%

Sample

1st row	https://www.tvmaze.com/episodes/2179614/kontakty-1x31-kontakty-v-telefone-eldara-dzarahova-morgenshtern-slava-marlow-basta-dana-poperecnyj
2nd row	https://www.tvmaze.com/episodes/1988015/muzskaa-tema-1x04-seria-4
3rd row	https://www.tvmaze.com/episodes/2095629/yi-nian-yong-heng-1x22-episode-22
4th row	https://www.tvmaze.com/episodes/1993657/7-days-of-romance-2x02-episode-2
5th row	https://www.tvmaze.com/episodes/2015712/half-fifty-1x01-episode-1

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/2179614/kontakty-1x31-kontakty-v-telefone-eldara-dzarahova-morgenshtern-slava-marlow-basta-dana-poperecnyj	1	1.2%
https://www.tvmaze.com/episodes/1977650/to-love-1x39-episode-39	1	1.2%
https://www.tvmaze.com/episodes/1988068/forever-love-1x17-episode-17	1	1.2%
https://www.tvmaze.com/episodes/1996397/the-expanse-aftershow-1x04-shohreh-aghdashloo-dan-nowak	1	1.2%
https://www.tvmaze.com/episodes/1985476/you-complete-me-1x20-episode-20	1	1.2%
https://www.tvmaze.com/episodes/1985475/you-complete-me-1x19-episode-19	1	1.2%
https://www.tvmaze.com/episodes/1984957/dream-detective-1x18-episode-18	1	1.2%
https://www.tvmaze.com/episodes/1984956/dream-detective-1x17-episode-17	1	1.2%
https://www.tvmaze.com/episodes/2129633/the-aam-aadmi-family-4x02-mard-ko-dard-nahi-hota	1	1.2%
https://www.tvmaze.com/episodes/1977651/to-love-1x40-episode-40	1	1.2%
Other values (76)	76	88.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/2179614/kontakty-1x31-kontakty-v-telefone-eldara-dzarahova-morgenshtern-slava-marlow-basta-dana-poperecnyj	1	1.2%
https://www.tvmaze.com/episodes/2015718/half-fifty-1x07-episode-7	1	1.2%
https://www.tvmaze.com/episodes/1993657/7-days-of-romance-2x02-episode-2	1	1.2%
https://www.tvmaze.com/episodes/2015712/half-fifty-1x01-episode-1	1	1.2%
https://www.tvmaze.com/episodes/2015713/half-fifty-1x02-episode-2	1	1.2%
https://www.tvmaze.com/episodes/2015714/half-fifty-1x03-episode-3	1	1.2%
https://www.tvmaze.com/episodes/2015715/half-fifty-1x04-episode-4	1	1.2%
https://www.tvmaze.com/episodes/2015716/half-fifty-1x05-episode-5	1	1.2%
https://www.tvmaze.com/episodes/2015717/half-fifty-1x06-episode-6	1	1.2%
https://www.tvmaze.com/episodes/2041158/dtk-elviszlek-magammal-7x20-bach-kata-es-wunderlich-jozsef	1	1.2%
Other values (76)	76	88.4%

Most occurring characters

Value	Count	Frequency (%)
e	588	8.6%
-	523	7.7%
s	433	6.3%
/	430	6.3%
t	407	6.0%
o	351	5.1%
a	307	4.5%
w	284	4.2%
i	250	3.7%
p	247	3.6%
Other values (30)	3012	44.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4620	67.6%
Decimal Number	1001	14.7%
Other Punctuation	688	10.1%
Dash Punctuation	523	7.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	588	12.7%
s	433	9.4%
t	407	8.8%
o	351	7.6%
a	307	6.6%
w	284	6.1%
i	250	5.4%
p	247	5.3%
m	246	5.3%
d	199	4.3%
Other values (16)	1308	28.3%

Decimal Number

Value	Count	Frequency (%)
1	220	22.0%
0	156	15.6%
2	149	14.9%
9	99	9.9%
7	68	6.8%
8	66	6.6%
5	64	6.4%
3	63	6.3%
6	58	5.8%
4	58	5.8%

Other Punctuation

Value	Count	Frequency (%)
/	430	62.5%
.	172	25.0%
:	86	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	523	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4620	67.6%
Common	2212	32.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	588	12.7%
s	433	9.4%
t	407	8.8%
o	351	7.6%
a	307	6.6%
w	284	6.1%
i	250	5.4%
p	247	5.3%
m	246	5.3%
d	199	4.3%
Other values (16)	1308	28.3%

Common

Value	Count	Frequency (%)
-	523	23.6%
/	430	19.4%
1	220	9.9%
.	172	7.8%
0	156	7.1%
2	149	6.7%
9	99	4.5%
:	86	3.9%
7	68	3.1%
8	66	3.0%
Other values (4)	243	11.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6832	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	588	8.6%
-	523	7.7%
s	433	6.3%
/	430	6.3%
t	407	6.0%
o	351	5.1%
a	307	4.5%
w	284	4.2%
i	250	3.7%
p	247	3.6%
Other values (30)	3012	44.1%

name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	74
Distinct (%)	86.0%
Missing	0
Missing (%)	0.0%
Memory size	816.0 B

Episode 18	3
Episode 17	3
Episode 22	2
Episode 2	2
Episode 1	2
Other values (69)	74

Length

Max length	89
Median length	67
Mean length	17.91860465
Min length	1

Characters and Unicode

Total characters	1541
Distinct characters	156
Distinct categories	10 ?
Distinct scripts	4 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	64 ?
Unique (%)	74.4%

Sample

1st row	КОНТАКТЫ в телефоне Эльдара Джарахова: Morgenshtern, Slava Marlow, Баста, Даня Поперечный
2nd row	Серия 4
3rd row	Episode 22
4th row	Episode 2
5th row	Episode 1

Common Values

Value	Count	Frequency (%)
Episode 18	3	3.5%
Episode 17	3	3.5%
Episode 22	2	2.3%
Episode 2	2	2.3%
Episode 1	2	2.3%
Episode 3	2	2.3%
Episode 4	2	2.3%
Christmas Special	2	2.3%
Episode 7	2	2.3%
Episode 8	2	2.3%
Other values (64)	64	74.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
episode	34	12.1%
the	8	2.9%
2	6	2.1%
	6	2.1%
1	5	1.8%
of	4	1.4%
christmas	4	1.4%
be	3	1.1%
희대의	3	1.1%
18	3	1.1%
Other values (180)	204	72.9%

Most occurring characters

Value	Count	Frequency (%)
	194	12.6%
e	102	6.6%
o	75	4.9%
i	68	4.4%
s	63	4.1%
a	58	3.8%
d	52	3.4%
p	40	2.6%
r	39	2.5%
E	38	2.5%
Other values (146)	812	52.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	948	61.5%
Uppercase Letter	217	14.1%
Space Separator	194	12.6%
Decimal Number	91	5.9%
Other Letter	49	3.2%
Other Punctuation	28	1.8%
Dash Punctuation	5	0.3%
Close Punctuation	4	0.3%
Open Punctuation	4	0.3%
Math Symbol	1	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	102	10.8%
o	75	7.9%
i	68	7.2%
s	63	6.6%
a	58	6.1%
d	52	5.5%
p	40	4.2%
r	39	4.1%
t	37	3.9%
n	37	3.9%
Other values (47)	377	39.8%

Uppercase Letter

Value	Count	Frequency (%)
E	38	17.5%
S	13	6.0%
К	11	5.1%
T	10	4.6%
D	9	4.1%
C	8	3.7%
M	8	3.7%
А	7	3.2%
B	7	3.2%
С	6	2.8%
Other values (36)	100	46.1%

Other Letter

Value	Count	Frequency (%)
대	7	14.3%
희	3	6.1%
의	3	6.1%
생	2	4.1%
는	2	4.1%
시	2	4.1%
탄	2	4.1%
가	2	4.1%
기	2	4.1%
세	2	4.1%
Other values (21)	22	44.9%

Decimal Number

Value	Count	Frequency (%)
2	27	29.7%
1	16	17.6%
0	10	11.0%
3	10	11.0%
8	6	6.6%
7	5	5.5%
5	5	5.5%
6	5	5.5%
4	4	4.4%
9	3	3.3%

Other Punctuation

Value	Count	Frequency (%)
,	15	53.6%
:	3	10.7%
'	3	10.7%
.	2	7.1%
/	2	7.1%
&	2	7.1%
?	1	3.6%

Space Separator

Value	Count	Frequency (%)
	194	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	4	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	4	100.0%

Math Symbol

Value	Count	Frequency (%)
\|	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	875	56.8%
Common	327	21.2%
Cyrillic	290	18.8%
Hangul	49	3.2%

Most frequent character per script

Cyrillic

Value	Count	Frequency (%)
а	34	11.7%
е	20	6.9%
р	18	6.2%
н	15	5.2%
о	12	4.1%
с	11	3.8%
и	11	3.8%
К	11	3.8%
т	10	3.4%
к	9	3.1%
Other values (44)	139	47.9%

Latin

Value	Count	Frequency (%)
e	102	11.7%
o	75	8.6%
i	68	7.8%
s	63	7.2%
a	58	6.6%
d	52	5.9%
p	40	4.6%
r	39	4.5%
E	38	4.3%
t	37	4.2%
Other values (39)	303	34.6%

Hangul

Value	Count	Frequency (%)
대	7	14.3%
희	3	6.1%
의	3	6.1%
생	2	4.1%
는	2	4.1%
시	2	4.1%
탄	2	4.1%
가	2	4.1%
기	2	4.1%
세	2	4.1%
Other values (21)	22	44.9%

Common

Value	Count	Frequency (%)
	194	59.3%
2	27	8.3%
1	16	4.9%
,	15	4.6%
0	10	3.1%
3	10	3.1%
8	6	1.8%
7	5	1.5%
5	5	1.5%
6	5	1.5%
Other values (12)	34	10.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1199	77.8%
Cyrillic	290	18.8%
Hangul	49	3.2%
None	3	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	194	16.2%
e	102	8.5%
o	75	6.3%
i	68	5.7%
s	63	5.3%
a	58	4.8%
d	52	4.3%
p	40	3.3%
r	39	3.3%
E	38	3.2%
Other values (58)	470	39.2%

Cyrillic

Value	Count	Frequency (%)
а	34	11.7%
е	20	6.9%
р	18	6.2%
н	15	5.2%
о	12	4.1%
с	11	3.8%
и	11	3.8%
К	11	3.8%
т	10	3.4%
к	9	3.1%
Other values (44)	139	47.9%

Hangul

Value	Count	Frequency (%)
대	7	14.3%
희	3	6.1%
의	3	6.1%
생	2	4.1%
는	2	4.1%
시	2	4.1%
탄	2	4.1%
가	2	4.1%
기	2	4.1%
세	2	4.1%
Other values (21)	22	44.9%

None

Value	Count	Frequency (%)
å	1	33.3%
é	1	33.3%
ó	1	33.3%

season
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	12.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	96.40697674

Minimum	1
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	816.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	3
95-th percentile	27.75
Maximum	2020
Range	2019
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	427.3621794
Coefficient of variation (CV)	4.432896808
Kurtosis	17.62215985
Mean	96.40697674
Median Absolute Deviation (MAD)	0
Skewness	4.382996912
Sum	8291
Variance	182638.4324
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
1	56	65.1%
4	8	9.3%
2	6	7.0%
2020	4	4.7%
7	3	3.5%
3	3	3.5%
5	2	2.3%
8	1	1.2%
18	1	1.2%
31	1	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	56	65.1%
2	6	7.0%
3	3	3.5%
4	8	9.3%
5	2	2.3%
7	3	3.5%
8	1	1.2%
14	1	1.2%
18	1	1.2%
31	1	1.2%

Value	Count	Frequency (%)
2020	4	4.7%
31	1	1.2%
18	1	1.2%
14	1	1.2%
8	1	1.2%
7	3	3.5%
5	2	2.3%
4	8	9.3%
3	3	3.5%
2	6	7.0%

number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	39
Distinct (%)	47.6%
Missing	4
Missing (%)	4.7%
Infinite	0
Infinite (%)	0.0%
Mean	28.8902439

Minimum	1
Maximum	350
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	816.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	8.5
Q3	22.75
95-th percentile	85.3
Maximum	350
Range	349
Interquartile range (IQR)	18.75

Descriptive statistics

Standard deviation	61.93405615
Coefficient of variation (CV)	2.143770622
Kurtosis	18.73259632
Mean	28.8902439
Median Absolute Deviation (MAD)	6.5
Skewness	4.269574088
Sum	2369
Variance	3835.827311
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
4	8	9.3%
2	7	8.1%
1	6	7.0%
3	5	5.8%
6	5	5.8%
7	5	5.8%
8	3	3.5%
18	3	3.5%
17	3	3.5%
20	3	3.5%
Other values (29)	34	39.5%
(Missing)	4	4.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	6	7.0%
2	7	8.1%
3	5	5.8%
4	8	9.3%
5	2	2.3%
6	5	5.8%
7	5	5.8%
8	3	3.5%
9	1	1.2%
10	2	2.3%

Value	Count	Frequency (%)
350	1	1.2%
316	1	1.2%
315	1	1.2%
90	1	1.2%
86	1	1.2%
72	1	1.2%
67	1	1.2%
61	1	1.2%
58	1	1.2%
55	1	1.2%

type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Memory size	816.0 B

regular	82
significant_special	4

Length

Max length	19
Median length	7
Mean length	7.558139535
Min length	7

Characters and Unicode

Total characters	650
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	regular
2nd row	regular
3rd row	regular
4th row	regular
5th row	regular

Common Values

Value	Count	Frequency (%)
regular	82	95.3%
significant_special	4	4.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
regular	82	95.3%
significant_special	4	4.7%

Most occurring characters

Value	Count	Frequency (%)
r	164	25.2%
a	90	13.8%
e	86	13.2%
g	86	13.2%
l	86	13.2%
u	82	12.6%
i	16	2.5%
s	8	1.2%
n	8	1.2%
c	8	1.2%
Other values (4)	16	2.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	646	99.4%
Connector Punctuation	4	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	164	25.4%
a	90	13.9%
e	86	13.3%
g	86	13.3%
l	86	13.3%
u	82	12.7%
i	16	2.5%
s	8	1.2%
n	8	1.2%
c	8	1.2%
Other values (3)	12	1.9%

Connector Punctuation

Value	Count	Frequency (%)
_	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	646	99.4%
Common	4	0.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	164	25.4%
a	90	13.9%
e	86	13.3%
g	86	13.3%
l	86	13.3%
u	82	12.7%
i	16	2.5%
s	8	1.2%
n	8	1.2%
c	8	1.2%
Other values (3)	12	1.9%

Common

Value	Count	Frequency (%)
_	4	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	650	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	164	25.2%
a	90	13.8%
e	86	13.2%
g	86	13.2%
l	86	13.2%
u	82	12.6%
i	16	2.5%
s	8	1.2%
n	8	1.2%
c	8	1.2%
Other values (4)	16	2.5%

airdate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	816.0 B

2020-12-23	86

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	860
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-12-23
2nd row	2020-12-23
3rd row	2020-12-23
4th row	2020-12-23
5th row	2020-12-23

Common Values

Value	Count	Frequency (%)
2020-12-23	86	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2020-12-23	86	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	344	40.0%
0	172	20.0%
-	172	20.0%
1	86	10.0%
3	86	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	688	80.0%
Dash Punctuation	172	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	344	50.0%
0	172	25.0%
1	86	12.5%
3	86	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	172	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	860	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	344	40.0%
0	172	20.0%
-	172	20.0%
1	86	10.0%
3	86	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	860	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	344	40.0%
0	172	20.0%
-	172	20.0%
1	86	10.0%
3	86	10.0%

airtime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	14.0%
Missing	0
Missing (%)	0.0%
Memory size	816.0 B

nan	59
20:00	13
06:00	3
12:00	2
00:00	2
Other values (7)	7

Length

Max length	5
Median length	3
Mean length	3.627906977
Min length	3

Characters and Unicode

Total characters	312
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	8.1%

Sample

1st row	12:00
2nd row	12:00
3rd row	10:00
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	59	68.6%
20:00	13	15.1%
06:00	3	3.5%
12:00	2	2.3%
00:00	2	2.3%
10:00	1	1.2%
18:30	1	1.2%
20:45	1	1.2%
19:00	1	1.2%
20:30	1	1.2%
Other values (2)	2	2.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	59	68.6%
20:00	13	15.1%
06:00	3	3.5%
12:00	2	2.3%
00:00	2	2.3%
10:00	1	1.2%
18:30	1	1.2%
20:45	1	1.2%
19:00	1	1.2%
20:30	1	1.2%
Other values (2)	2	2.3%

Most occurring characters

Value	Count	Frequency (%)
n	118	37.8%
0	73	23.4%
a	59	18.9%
:	27	8.7%
2	20	6.4%
1	6	1.9%
6	3	1.0%
3	2	0.6%
8	1	0.3%
4	1	0.3%
Other values (2)	2	0.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	177	56.7%
Decimal Number	108	34.6%
Other Punctuation	27	8.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	73	67.6%
2	20	18.5%
1	6	5.6%
6	3	2.8%
3	2	1.9%
8	1	0.9%
4	1	0.9%
5	1	0.9%
9	1	0.9%

Lowercase Letter

Value	Count	Frequency (%)
n	118	66.7%
a	59	33.3%

Other Punctuation

Value	Count	Frequency (%)
:	27	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	177	56.7%
Common	135	43.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	73	54.1%
:	27	20.0%
2	20	14.8%
1	6	4.4%
6	3	2.2%
3	2	1.5%
8	1	0.7%
4	1	0.7%
5	1	0.7%
9	1	0.7%

Latin

Value	Count	Frequency (%)
n	118	66.7%
a	59	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	312	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	118	37.8%
0	73	23.4%
a	59	18.9%
:	27	8.7%
2	20	6.4%
1	6	1.9%
6	3	1.0%
3	2	0.6%
8	1	0.3%
4	1	0.3%
Other values (2)	2	0.6%

airstamp
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	19
Distinct (%)	22.1%
Missing	0
Missing (%)	0.0%
Memory size	816.0 B

2020-12-23T12:00:00+00:00	38
2020-12-23T03:00:00+00:00	18
2020-12-23T04:00:00+00:00	5
2020-12-23T17:00:00+00:00	5
2020-12-23T11:00:00+00:00	3
Other values (14)	17

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	2150
Distinct characters	12
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12 ?
Unique (%)	14.0%

Sample

1st row	2020-12-23T00:00:00+00:00
2nd row	2020-12-23T00:00:00+00:00
3rd row	2020-12-23T02:00:00+00:00
4th row	2020-12-23T03:00:00+00:00
5th row	2020-12-23T03:00:00+00:00

Common Values

Value	Count	Frequency (%)
2020-12-23T12:00:00+00:00	38	44.2%
2020-12-23T03:00:00+00:00	18	20.9%
2020-12-23T04:00:00+00:00	5	5.8%
2020-12-23T17:00:00+00:00	5	5.8%
2020-12-23T11:00:00+00:00	3	3.5%
2020-12-23T05:00:00+00:00	3	3.5%
2020-12-23T00:00:00+00:00	2	2.3%
2020-12-23T10:00:00+00:00	1	1.2%
2020-12-23T09:30:00+00:00	1	1.2%
2020-12-23T02:00:00+00:00	1	1.2%
Other values (9)	9	10.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-23t12:00:00+00:00	38	44.2%
2020-12-23t03:00:00+00:00	18	20.9%
2020-12-23t04:00:00+00:00	5	5.8%
2020-12-23t17:00:00+00:00	5	5.8%
2020-12-23t11:00:00+00:00	3	3.5%
2020-12-23t05:00:00+00:00	3	3.5%
2020-12-23t00:00:00+00:00	2	2.3%
2020-12-23t19:00:00+00:00	1	1.2%
2020-12-24t01:00:00+00:00	1	1.2%
2020-12-23t22:00:00+00:00	1	1.2%
Other values (9)	9	10.5%

Most occurring characters

Value	Count	Frequency (%)
0	893	41.5%
2	388	18.0%
:	258	12.0%
-	172	8.0%
1	141	6.6%
3	104	4.8%
T	86	4.0%
+	86	4.0%
4	8	0.4%
7	6	0.3%
Other values (2)	8	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1548	72.0%
Other Punctuation	258	12.0%
Dash Punctuation	172	8.0%
Uppercase Letter	86	4.0%
Math Symbol	86	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	893	57.7%
2	388	25.1%
1	141	9.1%
3	104	6.7%
4	8	0.5%
7	6	0.4%
5	6	0.4%
9	2	0.1%

Other Punctuation

Value	Count	Frequency (%)
:	258	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	172	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	86	100.0%

Math Symbol

Value	Count	Frequency (%)
+	86	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2064	96.0%
Latin	86	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	893	43.3%
2	388	18.8%
:	258	12.5%
-	172	8.3%
1	141	6.8%
3	104	5.0%
+	86	4.2%
4	8	0.4%
7	6	0.3%
5	6	0.3%

Latin

Value	Count	Frequency (%)
T	86	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2150	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	893	41.5%
2	388	18.0%
:	258	12.0%
-	172	8.0%
1	141	6.6%
3	104	4.8%
T	86	4.0%
+	86	4.0%
4	8	0.4%
7	6	0.3%
Other values (2)	8	0.4%

runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	32
Distinct (%)	40.5%
Missing	7
Missing (%)	8.1%
Infinite	0
Infinite (%)	0.0%
Mean	33.73417722

Minimum	1
Maximum	126
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	816.0 B

Quantile statistics

Minimum	1
5-th percentile	4.9
Q1	15
median	25
Q3	45
95-th percentile	95.7
Maximum	126
Range	125
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	27.17828548
Coefficient of variation (CV)	0.805660245
Kurtosis	3.765971174
Mean	33.73417722
Median Absolute Deviation (MAD)	11
Skewness	1.863806904
Sum	2665
Variance	738.6592016
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
45	16	18.6%
15	11	12.8%
17	8	9.3%
30	5	5.8%
23	3	3.5%
12	3	3.5%
20	3	3.5%
120	3	3.5%
33	2	2.3%
25	2	2.3%
Other values (22)	23	26.7%
(Missing)	7	8.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	1.2%
2	1	1.2%
3	1	1.2%
4	1	1.2%
5	1	1.2%
6	1	1.2%
12	3	3.5%
13	1	1.2%
14	1	1.2%
15	11	12.8%

Value	Count	Frequency (%)
126	1	1.2%
120	3	3.5%
93	1	1.2%
90	1	1.2%
63	1	1.2%
60	2	2.3%
48	1	1.2%
46	1	1.2%
45	16	18.6%
43	1	1.2%

summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	15
Distinct (%)	17.4%
Missing	0
Missing (%)	0.0%
Memory size	816.0 B

nan	72
<p>Marco's grand plan shocks Earth, Mars and the Belt.</p>	1
<p>It's up to you to decide whether you care about the weather. Your weather girls are here to brighten up your rainy days!</p>	1
<p>The promised second part of the House's adventures is better in the Carpathians. This time we go to the capital of the Hutsuls - Verkhona. We will get acquainted with local traditions, talk with those who protect them, and look at a couple of museums. We will rise to the mystical summit of Spitz.</p>	1
<p>Kido Butai was the fleet that launched the surprise attack on the US Pacific Fleet at anchor at Pearl Harbor and followed that up with a string of victories in 1942. But how was it commanded, both as a whole and in the high and even mid level command? Today we'll look at that.</p>	1
Other values (10)	10

Length

Max length	434
Median length	3
Mean length	43.81395349
Min length	3

Characters and Unicode

Total characters	3768
Distinct characters	70
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	14 ?
Unique (%)	16.3%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	72	83.7%
<p>Marco's grand plan shocks Earth, Mars and the Belt.</p>	1	1.2%
<p>It's up to you to decide whether you care about the weather. Your weather girls are here to brighten up your rainy days!</p>	1	1.2%
<p>The promised second part of the House's adventures is better in the Carpathians. This time we go to the capital of the Hutsuls - Verkhona. We will get acquainted with local traditions, talk with those who protect them, and look at a couple of museums. We will rise to the mystical summit of Spitz.</p>	1	1.2%
<p>Kido Butai was the fleet that launched the surprise attack on the US Pacific Fleet at anchor at Pearl Harbor and followed that up with a string of victories in 1942. But how was it commanded, both as a whole and in the high and even mid level command? Today we'll look at that.</p>	1	1.2%
<p>All hail Queen of the Earth herself on this installment of The Expanse Aftershow! Shohreh Aghdashloo aka Chrisjen Avasarala and EP & Writer Dan Nowak join Wes Chatham and Ty Franck to discuss what convinced Shohreh to join The Expanse, Amos' survival instincts, and Under Siege (1992) references.</p>	1	1.2%
<p>Welcome to the SEASON 2 FINALE of our spooky and FESTIVE show- Too Many Spirits! Join us as we read your submitted holiday ghost stories and enjoy cocktails prepared by freshman bartender, Steven Lim.</p>	1	1.2%
<p>James's night is not going as planned. On top of it all, Dale conceals a small but significant detail from him.</p>	1	1.2%
<p>Stephanie tries to recover, and struggles with her reality. Cameron Sr. fights to unify his fractured family while Cameron Jr. follows his ambitions. Brittany senses a rift within her love triangle.</p>	1	1.2%
<p>In the glory days of Japan's over-the-top MMA events, Kazushi Sakuraba embodied the samurai spirit of PRIDE Fighting Championship. Athletes, personalities and "The Gracie Hunter" himself tell how a pro wrestler became a superstar in the PRIDE ring.</p>	1	1.2%
Other values (5)	5	5.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	72	10.8%
the	34	5.1%
and	23	3.4%
to	20	3.0%
of	15	2.2%
a	13	1.9%
christmas	8	1.2%
that	7	1.0%
with	7	1.0%
is	7	1.0%
Other values (363)	463	69.2%

Most occurring characters

Value	Count	Frequency (%)
	583	15.5%
e	318	8.4%
n	311	8.3%
a	307	8.1%
t	259	6.9%
s	190	5.0%
i	187	5.0%
o	176	4.7%
h	168	4.5%
r	166	4.4%
Other values (60)	1103	29.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2857	75.8%
Space Separator	583	15.5%
Uppercase Letter	152	4.0%
Other Punctuation	101	2.7%
Math Symbol	56	1.5%
Decimal Number	9	0.2%
Dash Punctuation	6	0.2%
Close Punctuation	2	0.1%
Open Punctuation	2	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	318	11.1%
n	311	10.9%
a	307	10.7%
t	259	9.1%
s	190	6.7%
i	187	6.5%
o	176	6.2%
h	168	5.9%
r	166	5.8%
l	119	4.2%
Other values (16)	656	23.0%

Uppercase Letter

Value	Count	Frequency (%)
C	19	12.5%
S	17	11.2%
A	13	8.6%
E	11	7.2%
I	10	6.6%
T	9	5.9%
M	8	5.3%
J	7	4.6%
B	7	4.6%
G	6	3.9%
Other values (14)	45	29.6%

Other Punctuation

Value	Count	Frequency (%)
.	32	31.7%
,	29	28.7%
'	16	15.8%
/	14	13.9%
!	3	3.0%
?	2	2.0%
"	2	2.0%
;	1	1.0%
&	1	1.0%
:	1	1.0%

Decimal Number

Value	Count	Frequency (%)
9	3	33.3%
2	3	33.3%
1	2	22.2%
4	1	11.1%

Math Symbol

Value	Count	Frequency (%)
>	28	50.0%
<	28	50.0%

Space Separator

Value	Count	Frequency (%)
	583	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	6	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3009	79.9%
Common	759	20.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	318	10.6%
n	311	10.3%
a	307	10.2%
t	259	8.6%
s	190	6.3%
i	187	6.2%
o	176	5.8%
h	168	5.6%
r	166	5.5%
l	119	4.0%
Other values (40)	808	26.9%

Common

Value	Count	Frequency (%)
	583	76.8%
.	32	4.2%
,	29	3.8%
>	28	3.7%
<	28	3.7%
'	16	2.1%
/	14	1.8%
-	6	0.8%
9	3	0.4%
2	3	0.4%
Other values (10)	17	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3768	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	583	15.5%
e	318	8.4%
n	311	8.3%
a	307	8.1%
t	259	6.9%
s	190	5.0%
i	187	5.0%
o	176	4.7%
h	168	4.5%
r	166	4.4%
Other values (60)	1103	29.3%

_embedded_show_id
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	62
Distinct (%)	72.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	47317.9186

Minimum	1825
Maximum	61755
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	816.0 B

Quantile statistics

Minimum	1825
5-th percentile	16871.25
Q1	47982
median	52410.5
Q3	53192
95-th percentile	58144.75
Maximum	61755
Range	59930
Interquartile range (IQR)	5210

Descriptive statistics

Standard deviation	12869.52415
Coefficient of variation (CV)	0.2719799292
Kurtosis	4.340300237
Mean	47317.9186
Median Absolute Deviation (MAD)	2253.5
Skewness	-2.176182892
Sum	4069341
Variance	165624651.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
53101	8	9.3%
54664	8	9.3%
52159	2	2.3%
52524	2	2.3%
52104	2	2.3%
21735	2	2.3%
53458	2	2.3%
52743	2	2.3%
58689	2	2.3%
52421	2	2.3%
Other values (52)	54	62.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1825	1	1.2%
2266	1	1.2%
2504	1	1.2%
15250	2	2.3%
21735	2	2.3%
24963	1	1.2%
28346	1	1.2%
30606	1	1.2%
32680	1	1.2%
33944	1	1.2%

Value	Count	Frequency (%)
61755	1	1.2%
58689	2	2.3%
58426	1	1.2%
58367	1	1.2%
57478	1	1.2%
56783	1	1.2%
56746	1	1.2%
56531	1	1.2%
55002	1	1.2%
54664	8	9.3%

_embedded_show_url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	62
Distinct (%)	72.1%
Missing	0
Missing (%)	0.0%
Memory size	816.0 B

https://www.tvmaze.com/shows/53101/half-fifty	8
https://www.tvmaze.com/shows/54664/100-era	8
https://www.tvmaze.com/shows/52159/to-love	2
https://www.tvmaze.com/shows/52524/forever-love	2
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	2
Other values (57)	64

Length

Max length	69
Median length	61
Mean length	49.39534884
Min length	40

Characters and Unicode

Total characters	4248
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	50 ?
Unique (%)	58.1%

Sample

1st row	https://www.tvmaze.com/shows/49630/kontakty
2nd row	https://www.tvmaze.com/shows/52520/muzskaa-tema
3rd row	https://www.tvmaze.com/shows/49652/yi-nian-yong-heng
4th row	https://www.tvmaze.com/shows/44276/7-days-of-romance
5th row	https://www.tvmaze.com/shows/53101/half-fifty

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/53101/half-fifty	8	9.3%
https://www.tvmaze.com/shows/54664/100-era	8	9.3%
https://www.tvmaze.com/shows/52159/to-love	2	2.3%
https://www.tvmaze.com/shows/52524/forever-love	2	2.3%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	2	2.3%
https://www.tvmaze.com/shows/21735/jerks	2	2.3%
https://www.tvmaze.com/shows/53458/verdens-minste-kommentatorboks	2	2.3%
https://www.tvmaze.com/shows/52743/the-penalty-zone	2	2.3%
https://www.tvmaze.com/shows/58689/my-supernatural-power	2	2.3%
https://www.tvmaze.com/shows/52421/you-complete-me	2	2.3%
Other values (52)	54	62.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/53101/half-fifty	8	9.3%
https://www.tvmaze.com/shows/54664/100-era	8	9.3%
https://www.tvmaze.com/shows/52743/the-penalty-zone	2	2.3%
https://www.tvmaze.com/shows/52400/dream-detective	2	2.3%
https://www.tvmaze.com/shows/52421/you-complete-me	2	2.3%
https://www.tvmaze.com/shows/58689/my-supernatural-power	2	2.3%
https://www.tvmaze.com/shows/15250/the-young-turks	2	2.3%
https://www.tvmaze.com/shows/53458/verdens-minste-kommentatorboks	2	2.3%
https://www.tvmaze.com/shows/21735/jerks	2	2.3%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	2	2.3%
Other values (52)	54	62.8%

Most occurring characters

Value	Count	Frequency (%)
/	430	10.1%
w	361	8.5%
t	341	8.0%
s	318	7.5%
o	251	5.9%
e	222	5.2%
m	216	5.1%
h	213	5.0%
a	174	4.1%
.	172	4.0%
Other values (30)	1550	36.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2955	69.6%
Other Punctuation	688	16.2%
Decimal Number	458	10.8%
Dash Punctuation	147	3.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
w	361	12.2%
t	341	11.5%
s	318	10.8%
o	251	8.5%
e	222	7.5%
m	216	7.3%
h	213	7.2%
a	174	5.9%
v	105	3.6%
c	104	3.5%
Other values (16)	650	22.0%

Decimal Number

Value	Count	Frequency (%)
5	84	18.3%
4	64	14.0%
1	55	12.0%
2	52	11.4%
0	50	10.9%
6	43	9.4%
7	33	7.2%
3	32	7.0%
8	27	5.9%
9	18	3.9%

Other Punctuation

Value	Count	Frequency (%)
/	430	62.5%
.	172	25.0%
:	86	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	147	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2955	69.6%
Common	1293	30.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
w	361	12.2%
t	341	11.5%
s	318	10.8%
o	251	8.5%
e	222	7.5%
m	216	7.3%
h	213	7.2%
a	174	5.9%
v	105	3.6%
c	104	3.5%
Other values (16)	650	22.0%

Common

Value	Count	Frequency (%)
/	430	33.3%
.	172	13.3%
-	147	11.4%
:	86	6.7%
5	84	6.5%
4	64	4.9%
1	55	4.3%
2	52	4.0%
0	50	3.9%
6	43	3.3%
Other values (4)	110	8.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4248	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	430	10.1%
w	361	8.5%
t	341	8.0%
s	318	7.5%
o	251	5.9%
e	222	5.2%
m	216	5.1%
h	213	5.0%
a	174	4.1%
.	172	4.0%
Other values (30)	1550	36.5%

_embedded_show_name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	62
Distinct (%)	72.1%
Missing	0
Missing (%)	0.0%
Memory size	816.0 B

Half-Fifty	8
100% Era	8
To Love	2
Forever Love	2
Twisted Fate of Love	2
Other values (57)	64

Length

Max length	35
Median length	26
Mean length	14.65116279
Min length	5

Characters and Unicode

Total characters	1260
Distinct characters	94
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	50 ?
Unique (%)	58.1%

Sample

1st row	Контакты
2nd row	Мужская тема
3rd row	Yi Nian Yong Heng
4th row	7 Days of Romance
5th row	Half-Fifty

Common Values

Value	Count	Frequency (%)
Half-Fifty	8	9.3%
100% Era	8	9.3%
To Love	2	2.3%
Forever Love	2	2.3%
Twisted Fate of Love	2	2.3%
jerks.	2	2.3%
Verdens minste kommentatorboks	2	2.3%
The Penalty Zone	2	2.3%
My Supernatural Power	2	2.3%
You Complete Me	2	2.3%
Other values (52)	54	62.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	9	4.0%
half-fifty	8	3.6%
era	8	3.6%
love	8	3.6%
100	8	3.6%
of	7	3.1%
my	4	1.8%
me	3	1.3%
yi	3	1.3%
you	3	1.3%
Other values (142)	164	72.9%

Most occurring characters

Value	Count	Frequency (%)
	139	11.0%
e	117	9.3%
o	69	5.5%
a	68	5.4%
r	57	4.5%
i	56	4.4%
t	54	4.3%
n	54	4.3%
s	39	3.1%
l	32	2.5%
Other values (84)	575	45.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	865	68.7%
Uppercase Letter	199	15.8%
Space Separator	139	11.0%
Decimal Number	31	2.5%
Other Punctuation	18	1.4%
Dash Punctuation	8	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	117	13.5%
o	69	8.0%
a	68	7.9%
r	57	6.6%
i	56	6.5%
t	54	6.2%
n	54	6.2%
s	39	4.5%
l	32	3.7%
h	28	3.2%
Other values (40)	291	33.6%

Uppercase Letter

Value	Count	Frequency (%)
T	21	10.6%
M	18	9.0%
F	17	8.5%
S	14	7.0%
E	13	6.5%
H	12	6.0%
L	12	6.0%
Y	11	5.5%
A	9	4.5%
D	9	4.5%
Other values (22)	63	31.7%

Decimal Number

Value	Count	Frequency (%)
0	18	58.1%
1	9	29.0%
2	2	6.5%
5	1	3.2%
7	1	3.2%

Other Punctuation

Value	Count	Frequency (%)
%	8	44.4%
:	5	27.8%
.	3	16.7%
,	1	5.6%
'	1	5.6%

Space Separator

Value	Count	Frequency (%)
	139	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	973	77.2%
Common	196	15.6%
Cyrillic	91	7.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	117	12.0%
o	69	7.1%
a	68	7.0%
r	57	5.9%
i	56	5.8%
t	54	5.5%
n	54	5.5%
s	39	4.0%
l	32	3.3%
h	28	2.9%
Other values (41)	399	41.0%

Cyrillic

Value	Count	Frequency (%)
а	10	11.0%
т	8	8.8%
к	7	7.7%
о	7	7.7%
р	6	6.6%
е	6	6.6%
и	4	4.4%
с	4	4.4%
н	4	4.4%
з	3	3.3%
Other values (21)	32	35.2%

Common

Value	Count	Frequency (%)
	139	70.9%
0	18	9.2%
1	9	4.6%
-	8	4.1%
%	8	4.1%
:	5	2.6%
.	3	1.5%
2	2	1.0%
,	1	0.5%
5	1	0.5%
Other values (2)	2	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1168	92.7%
Cyrillic	91	7.2%
None	1	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	139	11.9%
e	117	10.0%
o	69	5.9%
a	68	5.8%
r	57	4.9%
i	56	4.8%
t	54	4.6%
n	54	4.6%
s	39	3.3%
l	32	2.7%
Other values (52)	483	41.4%

Cyrillic

Value	Count	Frequency (%)
а	10	11.0%
т	8	8.8%
к	7	7.7%
о	7	7.7%
р	6	6.6%
е	6	6.6%
и	4	4.4%
с	4	4.4%
н	4	4.4%
з	3	3.3%
Other values (21)	32	35.2%

None

Value	Count	Frequency (%)
ø	1	100.0%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	10.5%
Missing	0
Missing (%)	0.0%
Memory size	816.0 B

Scripted	53
Talk Show	9
Animation	6
Reality	6
Game Show	3
Other values (4)	9

Length

Max length	11
Median length	8
Mean length	8.081395349
Min length	4

Characters and Unicode

Total characters	695
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Game Show
2nd row	Talk Show
3rd row	Animation
4th row	Scripted
5th row	Scripted

Common Values

Value	Count	Frequency (%)
Scripted	53	61.6%
Talk Show	9	10.5%
Animation	6	7.0%
Reality	6	7.0%
Game Show	3	3.5%
Documentary	3	3.5%
Sports	2	2.3%
News	2	2.3%
Variety	2	2.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
scripted	53	54.1%
show	12	12.2%
talk	9	9.2%
animation	6	6.1%
reality	6	6.1%
game	3	3.1%
documentary	3	3.1%
sports	2	2.0%
news	2	2.0%
variety	2	2.0%

Most occurring characters

Value	Count	Frequency (%)
i	73	10.5%
t	72	10.4%
e	69	9.9%
S	67	9.6%
r	60	8.6%
c	56	8.1%
p	55	7.9%
d	53	7.6%
a	29	4.2%
o	23	3.3%
Other values (17)	138	19.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	585	84.2%
Uppercase Letter	98	14.1%
Space Separator	12	1.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	73	12.5%
t	72	12.3%
e	69	11.8%
r	60	10.3%
c	56	9.6%
p	55	9.4%
d	53	9.1%
a	29	5.0%
o	23	3.9%
l	15	2.6%
Other values (8)	80	13.7%

Uppercase Letter

Value	Count	Frequency (%)
S	67	68.4%
T	9	9.2%
A	6	6.1%
R	6	6.1%
G	3	3.1%
D	3	3.1%
N	2	2.0%
V	2	2.0%

Space Separator

Value	Count	Frequency (%)
	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	683	98.3%
Common	12	1.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	73	10.7%
t	72	10.5%
e	69	10.1%
S	67	9.8%
r	60	8.8%
c	56	8.2%
p	55	8.1%
d	53	7.8%
a	29	4.2%
o	23	3.4%
Other values (16)	126	18.4%

Common

Value	Count	Frequency (%)
	12	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	695	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	73	10.5%
t	72	10.4%
e	69	9.9%
S	67	9.6%
r	60	8.6%
c	56	8.1%
p	55	7.9%
d	53	7.6%
a	29	4.2%
o	23	3.3%
Other values (17)	138	19.9%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	18
Distinct (%)	20.9%
Missing	0
Missing (%)	0.0%
Memory size	816.0 B

Korean	19
Chinese	19
English	18
Russian	5
Norwegian	5
Other values (13)	20

Length

Max length	10
Median length	7
Mean length	6.755813953
Min length	3

Characters and Unicode

Total characters	581
Distinct characters	34
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	8.1%

Sample

1st row	Russian
2nd row	Russian
3rd row	Chinese
4th row	Korean
5th row	Korean

Common Values

Value	Count	Frequency (%)
Korean	19	22.1%
Chinese	19	22.1%
English	18	20.9%
Russian	5	5.8%
Norwegian	5	5.8%
nan	3	3.5%
Ukrainian	2	2.3%
Japanese	2	2.3%
Arabic	2	2.3%
German	2	2.3%
Other values (8)	9	10.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
korean	19	22.1%
chinese	19	22.1%
english	18	20.9%
russian	5	5.8%
norwegian	5	5.8%
nan	3	3.5%
arabic	2	2.3%
tagalog	2	2.3%
german	2	2.3%
japanese	2	2.3%
Other values (8)	9	10.5%

Most occurring characters

Value	Count	Frequency (%)
n	85	14.6%
e	72	12.4%
i	57	9.8%
a	55	9.5%
s	51	8.8%
h	42	7.2%
r	32	5.5%
g	28	4.8%
o	26	4.5%
K	20	3.4%
Other values (24)	113	19.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	498	85.7%
Uppercase Letter	83	14.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	85	17.1%
e	72	14.5%
i	57	11.4%
a	55	11.0%
s	51	10.2%
h	42	8.4%
r	32	6.4%
g	28	5.6%
o	26	5.2%
l	20	4.0%
Other values (9)	30	6.0%

Uppercase Letter

Value	Count	Frequency (%)
K	20	24.1%
C	19	22.9%
E	18	21.7%
R	5	6.0%
N	5	6.0%
T	3	3.6%
G	2	2.4%
U	2	2.4%
A	2	2.4%
J	2	2.4%
Other values (5)	5	6.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	581	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	85	14.6%
e	72	12.4%
i	57	9.8%
a	55	9.5%
s	51	8.8%
h	42	7.2%
r	32	5.5%
g	28	4.8%
o	26	4.5%
K	20	3.4%
Other values (24)	113	19.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	581	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	85	14.6%
e	72	12.4%
i	57	9.8%
a	55	9.5%
s	51	8.8%
h	42	7.2%
r	32	5.5%
g	28	4.8%
o	26	4.5%
K	20	3.4%
Other values (24)	113	19.4%

_embedded_show_genres
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	25
Distinct (%)	29.1%
Missing	0
Missing (%)	0.0%
Memory size	816.0 B

[]	21
['Drama', 'Romance']	12
['Drama']	10
['Comedy']	10
['Drama', 'Comedy']	8
Other values (20)	25

Length

Max length	42
Median length	34
Mean length	14.8255814
Min length	2

Characters and Unicode

Total characters	1275
Distinct characters	33
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	18.6%

Sample

1st row	[]
2nd row	[]
3rd row	['Comedy', 'Action', 'Anime', 'Fantasy']
4th row	['Drama', 'Romance']
5th row	['Drama', 'Comedy']

Common Values

Value	Count	Frequency (%)
[]	21	24.4%
['Drama', 'Romance']	12	14.0%
['Drama']	10	11.6%
['Comedy']	10	11.6%
['Drama', 'Comedy']	8	9.3%
['Drama', 'Romance', 'History']	3	3.5%
['Crime', 'Thriller', 'Mystery']	2	2.3%
['Drama', 'Action', 'Crime']	2	2.3%
['Drama', 'Fantasy', 'Mystery']	2	2.3%
['Comedy', 'Supernatural']	1	1.2%
Other values (15)	15	17.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
drama	40	28.0%
comedy	24	16.8%
	21	14.7%
romance	17	11.9%
mystery	5	3.5%
action	5	3.5%
history	4	2.8%
crime	4	2.8%
fantasy	4	2.8%
family	3	2.1%
Other values (10)	16	11.2%

Most occurring characters

Value	Count	Frequency (%)
'	244	19.1%
a	114	8.9%
m	91	7.1%
[	86	6.7%
]	86	6.7%
r	69	5.4%
e	65	5.1%
,	57	4.5%
	57	4.5%
o	52	4.1%
Other values (23)	354	27.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	621	48.7%
Other Punctuation	301	23.6%
Uppercase Letter	123	9.6%
Open Punctuation	86	6.7%
Close Punctuation	86	6.7%
Space Separator	57	4.5%
Dash Punctuation	1	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	114	18.4%
m	91	14.7%
r	69	11.1%
e	65	10.5%
o	52	8.4%
y	45	7.2%
n	36	5.8%
i	28	4.5%
d	27	4.3%
c	26	4.2%
Other values (7)	68	11.0%

Uppercase Letter

Value	Count	Frequency (%)
D	40	32.5%
C	30	24.4%
R	17	13.8%
A	9	7.3%
F	8	6.5%
M	6	4.9%
T	4	3.3%
S	4	3.3%
H	4	3.3%
W	1	0.8%

Other Punctuation

Value	Count	Frequency (%)
'	244	81.1%
,	57	18.9%

Open Punctuation

Value	Count	Frequency (%)
[	86	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	86	100.0%

Space Separator

Value	Count	Frequency (%)
	57	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	744	58.4%
Common	531	41.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	114	15.3%
m	91	12.2%
r	69	9.3%
e	65	8.7%
o	52	7.0%
y	45	6.0%
D	40	5.4%
n	36	4.8%
C	30	4.0%
i	28	3.8%
Other values (17)	174	23.4%

Common

Value	Count	Frequency (%)
'	244	46.0%
[	86	16.2%
]	86	16.2%
,	57	10.7%
	57	10.7%
-	1	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1275	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	244	19.1%
a	114	8.9%
m	91	7.1%
[	86	6.7%
]	86	6.7%
r	69	5.4%
e	65	5.1%
,	57	4.5%
	57	4.5%
o	52	4.1%
Other values (23)	354	27.8%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	3.5%
Missing	0
Missing (%)	0.0%
Memory size	816.0 B

Ended	44
Running	36
To Be Determined	6

Length

Max length	16
Median length	5
Mean length	6.604651163
Min length	5

Characters and Unicode

Total characters	568
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Running
2nd row	Ended
3rd row	Running
4th row	Ended
5th row	Ended

Common Values

Value	Count	Frequency (%)
Ended	44	51.2%
Running	36	41.9%
To Be Determined	6	7.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ended	44	44.9%
running	36	36.7%
to	6	6.1%
be	6	6.1%
determined	6	6.1%

Most occurring characters

Value	Count	Frequency (%)
n	158	27.8%
d	94	16.5%
e	68	12.0%
E	44	7.7%
i	42	7.4%
R	36	6.3%
u	36	6.3%
g	36	6.3%
	12	2.1%
T	6	1.1%
Other values (6)	36	6.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	458	80.6%
Uppercase Letter	98	17.3%
Space Separator	12	2.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	158	34.5%
d	94	20.5%
e	68	14.8%
i	42	9.2%
u	36	7.9%
g	36	7.9%
o	6	1.3%
t	6	1.3%
r	6	1.3%
m	6	1.3%

Uppercase Letter

Value	Count	Frequency (%)
E	44	44.9%
R	36	36.7%
T	6	6.1%
B	6	6.1%
D	6	6.1%

Space Separator

Value	Count	Frequency (%)
	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	556	97.9%
Common	12	2.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	158	28.4%
d	94	16.9%
e	68	12.2%
E	44	7.9%
i	42	7.6%
R	36	6.5%
u	36	6.5%
g	36	6.5%
T	6	1.1%
o	6	1.1%
Other values (5)	30	5.4%

Common

Value	Count	Frequency (%)
	12	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	568	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	158	27.8%
d	94	16.5%
e	68	12.0%
E	44	7.7%
i	42	7.4%
R	36	6.3%
u	36	6.3%
g	36	6.3%
	12	2.1%
T	6	1.1%
Other values (6)	36	6.3%

_embedded_show_runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	18
Distinct (%)	26.5%
Missing	18
Missing (%)	20.9%
Infinite	0
Infinite (%)	0.0%
Mean	35.22058824

Minimum	2
Maximum	120
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	816.0 B

Quantile statistics

Minimum	2
5-th percentile	10.7
Q1	17
median	27.5
Q3	45
95-th percentile	109.5
Maximum	120
Range	118
Interquartile range (IQR)	28

Descriptive statistics

Standard deviation	27.53822071
Coefficient of variation (CV)	0.7818785002
Kurtosis	3.452680944
Mean	35.22058824
Median Absolute Deviation (MAD)	12.5
Skewness	1.871452666
Sum	2395
Variance	758.3535996
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
45	16	18.6%
15	9	10.5%
30	8	9.3%
17	8	9.3%
20	5	5.8%
120	4	4.7%
23	3	3.5%
25	3	3.5%
90	2	2.3%
60	2	2.3%
Other values (8)	8	9.3%
(Missing)	18	20.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	1.2%
4	1	1.2%
5	1	1.2%
10	1	1.2%
12	1	1.2%
15	9	10.5%
17	8	9.3%
19	1	1.2%
20	5	5.8%
23	3	3.5%

Value	Count	Frequency (%)
120	4	4.7%
90	2	2.3%
60	2	2.3%
55	1	1.2%
45	16	18.6%
33	1	1.2%
30	8	9.3%
25	3	3.5%
23	3	3.5%
20	5	5.8%

_embedded_show_averageRuntime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	32
Distinct (%)	39.5%
Missing	5
Missing (%)	5.8%
Infinite	0
Infinite (%)	0.0%
Mean	32.24691358

Minimum	2
Maximum	120
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	816.0 B

Quantile statistics

Minimum	2
5-th percentile	5
Q1	15
median	25
Q3	45
95-th percentile	90
Maximum	120
Range	118
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	24.98275949
Coefficient of variation (CV)	0.7747333532
Kurtosis	3.663546261
Mean	32.24691358
Median Absolute Deviation (MAD)	10
Skewness	1.801367101
Sum	2612
Variance	624.1382716
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
45	14	16.3%
15	10	11.6%
17	8	9.3%
25	6	7.0%
20	5	5.8%
30	5	5.8%
12	3	3.5%
3	2	2.3%
60	2	2.3%
24	2	2.3%
Other values (22)	24	27.9%
(Missing)	5	5.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	1.2%
3	2	2.3%
4	1	1.2%
5	1	1.2%
9	1	1.2%
10	2	2.3%
12	3	3.5%
14	1	1.2%
15	10	11.6%
17	8	9.3%

Value	Count	Frequency (%)
120	2	2.3%
110	1	1.2%
97	1	1.2%
90	1	1.2%
75	1	1.2%
60	2	2.3%
59	1	1.2%
55	1	1.2%
49	1	1.2%
45	14	16.3%

_embedded_show_premiered
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	53
Distinct (%)	61.6%
Missing	0
Missing (%)	0.0%
Memory size	816.0 B

2020-12-23	17
2020-12-16	4
2020-11-19	3
2020-12-08	3
2020-11-18	3
Other values (48)	56

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	860
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	41 ?
Unique (%)	47.7%

Sample

1st row	2019-04-03
2nd row	2020-12-17
3rd row	2020-08-12
4th row	2019-10-08
5th row	2020-12-23

Common Values

Value	Count	Frequency (%)
2020-12-23	17	19.8%
2020-12-16	4	4.7%
2020-11-19	3	3.5%
2020-12-08	3	3.5%
2020-11-18	3	3.5%
2020-12-14	3	3.5%
2020-11-23	2	2.3%
2017-02-10	2	2.3%
2013-12-24	2	2.3%
2017-01-26	2	2.3%
Other values (43)	45	52.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-23	17	19.8%
2020-12-16	4	4.7%
2020-11-19	3	3.5%
2020-12-08	3	3.5%
2020-11-18	3	3.5%
2020-12-14	3	3.5%
2017-01-26	2	2.3%
2020-12-21	2	2.3%
2020-12-02	2	2.3%
2013-12-24	2	2.3%
Other values (43)	45	52.3%

Most occurring characters

Value	Count	Frequency (%)
2	224	26.0%
0	200	23.3%
-	172	20.0%
1	150	17.4%
3	27	3.1%
9	20	2.3%
8	19	2.2%
4	16	1.9%
7	12	1.4%
6	10	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	688	80.0%
Dash Punctuation	172	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	224	32.6%
0	200	29.1%
1	150	21.8%
3	27	3.9%
9	20	2.9%
8	19	2.8%
4	16	2.3%
7	12	1.7%
6	10	1.5%
5	10	1.5%

Dash Punctuation

Value	Count	Frequency (%)
-	172	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	860	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	224	26.0%
0	200	23.3%
-	172	20.0%
1	150	17.4%
3	27	3.1%
9	20	2.3%
8	19	2.2%
4	16	1.9%
7	12	1.4%
6	10	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	860	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	224	26.0%
0	200	23.3%
-	172	20.0%
1	150	17.4%
3	27	3.1%
9	20	2.3%
8	19	2.2%
4	16	1.9%
7	12	1.4%
6	10	1.2%

_embedded_show_ended
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	18
Distinct (%)	20.9%
Missing	0
Missing (%)	0.0%
Memory size	816.0 B

nan	42
2020-12-23	18
2020-12-30	5
2021-01-05	4
2021-01-20	2
Other values (13)	15

Length

Max length	10
Median length	10
Mean length	6.581395349
Min length	3

Characters and Unicode

Total characters	566
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	12.8%

Sample

1st row	nan
2nd row	2020-12-25
3rd row	nan
4th row	2021-01-20
5th row	2020-12-23

Common Values

Value	Count	Frequency (%)
nan	42	48.8%
2020-12-23	18	20.9%
2020-12-30	5	5.8%
2021-01-05	4	4.7%
2021-01-20	2	2.3%
2021-01-14	2	2.3%
2021-01-27	2	2.3%
2021-02-03	1	1.2%
2021-06-18	1	1.2%
2020-12-28	1	1.2%
Other values (8)	8	9.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	42	48.8%
2020-12-23	18	20.9%
2020-12-30	5	5.8%
2021-01-05	4	4.7%
2021-01-20	2	2.3%
2021-01-14	2	2.3%
2021-01-27	2	2.3%
2022-01-14	1	1.2%
2021-01-06	1	1.2%
2020-12-31	1	1.2%
Other values (8)	8	9.3%

Most occurring characters

Value	Count	Frequency (%)
2	144	25.4%
0	102	18.0%
-	88	15.5%
n	84	14.8%
1	61	10.8%
a	42	7.4%
3	29	5.1%
5	5	0.9%
4	4	0.7%
6	3	0.5%
Other values (2)	4	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	352	62.2%
Lowercase Letter	126	22.3%
Dash Punctuation	88	15.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	144	40.9%
0	102	29.0%
1	61	17.3%
3	29	8.2%
5	5	1.4%
4	4	1.1%
6	3	0.9%
7	2	0.6%
8	2	0.6%

Lowercase Letter

Value	Count	Frequency (%)
n	84	66.7%
a	42	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	88	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	440	77.7%
Latin	126	22.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	144	32.7%
0	102	23.2%
-	88	20.0%
1	61	13.9%
3	29	6.6%
5	5	1.1%
4	4	0.9%
6	3	0.7%
7	2	0.5%
8	2	0.5%

Latin

Value	Count	Frequency (%)
n	84	66.7%
a	42	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	566	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	144	25.4%
0	102	18.0%
-	88	15.5%
n	84	14.8%
1	61	10.8%
a	42	7.4%
3	29	5.1%
5	5	0.9%
4	4	0.7%
6	3	0.5%
Other values (2)	4	0.7%

_embedded_show_officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	54
Distinct (%)	62.8%
Missing	0
Missing (%)	0.0%
Memory size	816.0 B

nan	18
https://www.wavve.com/player/vod?programid=C9901_C99000000049	8
https://so.youku.com/search_video/q_%20%E6%9C%80%E5%88%9D%E7%9A%84%E7%9B%B8%E9%81%87?searchfrom=1	2
https://tv.nrk.no/serie/verdens-minste-kommentatorboks	2
https://v.qq.com/detail/m/mzc00200ur8p8zp.html	2
Other values (49)	54

Length

Max length	97
Median length	72
Mean length	41.19767442
Min length	3

Characters and Unicode

Total characters	3543
Distinct characters	74
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	44 ?
Unique (%)	51.2%

Sample

1st row	https://www.youtube.com/playlist?list=PLZ1FUdedsrSJubWkFFh5vKHzawzQk1mYI
2nd row	https://www.ivi.ru/watch/muzhskaya-tema
3rd row	https://v.qq.com/detail/w/ww18u675tfmhas6.html
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	18	20.9%
https://www.wavve.com/player/vod?programid=C9901_C99000000049	8	9.3%
https://so.youku.com/search_video/q_%20%E6%9C%80%E5%88%9D%E7%9A%84%E7%9B%B8%E9%81%87?searchfrom=1	2	2.3%
https://tv.nrk.no/serie/verdens-minste-kommentatorboks	2	2.3%
https://v.qq.com/detail/m/mzc00200ur8p8zp.html	2	2.3%
https://www.tytnetwork.com	2	2.3%
https://www.joyn.de/serien/jerks	2	2.3%
https://www.iqiyi.com/a_19rrhllpip.html	2	2.3%
https://v.qq.com/detail/m/mzc00200dnvb1wh.html	2	2.3%
https://v.qq.com/x/search/?q=+%E4%BB%8A%E5%A4%95%E4%BD%95%E5%A4%95&stag=0&smartbox_ab=	2	2.3%
Other values (44)	44	51.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	18	20.9%
https://www.wavve.com/player/vod?programid=c9901_c99000000049	8	9.3%
https://www.joyn.de/serien/jerks	2	2.3%
https://v.qq.com/detail/m/mzc00200dnvb1wh.html	2	2.3%
https://www.iqiyi.com/a_19rrhllpip.html	2	2.3%
https://v.qq.com/x/search/?q=+%e4%bb%8a%e5%a4%95%e4%bd%95%e5%a4%95&stag=0&smartbox_ab	2	2.3%
https://www.tytnetwork.com	2	2.3%
https://v.qq.com/detail/m/mzc00200ur8p8zp.html	2	2.3%
https://tv.nrk.no/serie/verdens-minste-kommentatorboks	2	2.3%
https://so.youku.com/search_video/q_%20%e6%9c%80%e5%88%9d%e7%9a%84%e7%9b%b8%e9%81%87?searchfrom=1	2	2.3%
Other values (44)	44	51.2%

Most occurring characters

Value	Count	Frequency (%)
/	272	7.7%
t	243	6.9%
w	160	4.5%
o	159	4.5%
s	158	4.5%
e	142	4.0%
.	136	3.8%
a	128	3.6%
h	125	3.5%
p	124	3.5%
Other values (64)	1896	53.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2272	64.1%
Other Punctuation	563	15.9%
Decimal Number	369	10.4%
Uppercase Letter	262	7.4%
Math Symbol	30	0.8%
Dash Punctuation	28	0.8%
Connector Punctuation	19	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	243	10.7%
w	160	7.0%
o	159	7.0%
s	158	7.0%
e	142	6.2%
a	128	5.6%
h	125	5.5%
p	124	5.5%
m	117	5.1%
n	106	4.7%
Other values (16)	810	35.7%

Uppercase Letter

Value	Count	Frequency (%)
C	27	10.3%
E	24	9.2%
B	20	7.6%
L	14	5.3%
P	14	5.3%
A	13	5.0%
Y	12	4.6%
H	12	4.6%
S	10	3.8%
Q	10	3.8%
Other values (16)	106	40.5%

Decimal Number

Value	Count	Frequency (%)
0	100	27.1%
9	72	19.5%
1	41	11.1%
8	33	8.9%
5	30	8.1%
4	26	7.0%
6	21	5.7%
2	18	4.9%
7	17	4.6%
3	11	3.0%

Other Punctuation

Value	Count	Frequency (%)
/	272	48.3%
.	136	24.2%
:	68	12.1%
%	57	10.1%
?	21	3.7%
&	7	1.2%
#	1	0.2%
!	1	0.2%

Math Symbol

Value	Count	Frequency (%)
=	28	93.3%
+	2	6.7%

Dash Punctuation

Value	Count	Frequency (%)
-	28	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	19	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2534	71.5%
Common	1009	28.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	243	9.6%
w	160	6.3%
o	159	6.3%
s	158	6.2%
e	142	5.6%
a	128	5.1%
h	125	4.9%
p	124	4.9%
m	117	4.6%
n	106	4.2%
Other values (42)	1072	42.3%

Common

Value	Count	Frequency (%)
/	272	27.0%
.	136	13.5%
0	100	9.9%
9	72	7.1%
:	68	6.7%
%	57	5.6%
1	41	4.1%
8	33	3.3%
5	30	3.0%
-	28	2.8%
Other values (12)	172	17.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3543	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	272	7.7%
t	243	6.9%
w	160	4.5%
o	159	4.5%
s	158	4.5%
e	142	4.0%
.	136	3.8%
a	128	3.6%
h	125	3.5%
p	124	3.5%
Other values (64)	1896	53.5%

_embedded_show_weight
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	43
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	31.40697674

Minimum	2
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	816.0 B

Quantile statistics

Minimum	2
5-th percentile	5.25
Q1	17.25
median	20
Q3	41
95-th percentile	85
Maximum	99
Range	97
Interquartile range (IQR)	23.75

Descriptive statistics

Standard deviation	25.55242726
Coefficient of variation (CV)	0.8135907977
Kurtosis	0.3169311042
Mean	31.40697674
Median Absolute Deviation (MAD)	10
Skewness	1.177955609
Sum	2701
Variance	652.926539
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
19	9	10.5%
20	9	10.5%
18	7	8.1%
8	5	5.8%
6	4	4.7%
41	3	3.5%
29	3	3.5%
2	2	2.3%
25	2	2.3%
30	2	2.3%
Other values (33)	40	46.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	2	2.3%
3	2	2.3%
5	1	1.2%
6	4	4.7%
7	1	1.2%
8	5	5.8%
10	2	2.3%
14	1	1.2%
15	2	2.3%
17	2	2.3%

Value	Count	Frequency (%)
99	1	1.2%
98	1	1.2%
92	1	1.2%
88	1	1.2%
86	1	1.2%
82	1	1.2%
79	1	1.2%
77	2	2.3%
76	1	1.2%
73	1	1.2%

_embedded_show_dvdCountry
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Memory size	816.0 B

nan	85
{'name': 'Ukraine', 'code': 'UA', 'timezone': 'Europe/Zaporozhye'}	1

Length

Max length	66
Median length	3
Mean length	3.73255814
Min length	3

Characters and Unicode

Total characters	321
Distinct characters	27
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.2%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	85	98.8%
{'name': 'Ukraine', 'code': 'UA', 'timezone': 'Europe/Zaporozhye'}	1	1.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	85	93.4%
name	1	1.1%
ukraine	1	1.1%
code	1	1.1%
ua	1	1.1%
timezone	1	1.1%
europe/zaporozhye	1	1.1%

Most occurring characters

Value	Count	Frequency (%)
n	173	53.9%
a	88	27.4%
'	12	3.7%
e	7	2.2%
o	5	1.6%
	5	1.6%
:	3	0.9%
r	3	0.9%
i	2	0.6%
p	2	0.6%
Other values (17)	21	6.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	291	90.7%
Other Punctuation	18	5.6%
Space Separator	5	1.6%
Uppercase Letter	5	1.6%
Open Punctuation	1	0.3%
Close Punctuation	1	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	173	59.5%
a	88	30.2%
e	7	2.4%
o	5	1.7%
r	3	1.0%
i	2	0.7%
p	2	0.7%
z	2	0.7%
m	2	0.7%
u	1	0.3%
Other values (6)	6	2.1%

Other Punctuation

Value	Count	Frequency (%)
'	12	66.7%
:	3	16.7%
,	2	11.1%
/	1	5.6%

Uppercase Letter

Value	Count	Frequency (%)
U	2	40.0%
Z	1	20.0%
E	1	20.0%
A	1	20.0%

Space Separator

Value	Count	Frequency (%)
	5	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	296	92.2%
Common	25	7.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	173	58.4%
a	88	29.7%
e	7	2.4%
o	5	1.7%
r	3	1.0%
i	2	0.7%
p	2	0.7%
z	2	0.7%
U	2	0.7%
m	2	0.7%
Other values (10)	10	3.4%

Common

Value	Count	Frequency (%)
'	12	48.0%
	5	20.0%
:	3	12.0%
,	2	8.0%
/	1	4.0%
{	1	4.0%
}	1	4.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	321	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	173	53.9%
a	88	27.4%
'	12	3.7%
e	7	2.2%
o	5	1.6%
	5	1.6%
:	3	0.9%
r	3	0.9%
i	2	0.6%
p	2	0.6%
Other values (17)	21	6.5%

_embedded_show_summary
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	54
Distinct (%)	62.8%
Missing	0
Missing (%)	0.0%
Memory size	816.0 B

nan	9
<p><b>Half-Fifty</b> is a comedy drama about youth and growth, and the series follows a group of 25-year-olds who end up in the world of YouTubers.</p>	8
<p><b>100% Era</b> imagines the post-corona future. How the lives of kids born during the pandemic will look like? What will humanity and teens look like in 2044? Our teenagers living in a more competitive world, where the world no longer needs human hands. For humans, the competition to rise to the top is intensifying. How to secretly love children in the era when schools disappeared and contactless. Hee Jae and Shi Dae attend the same top rank education academy. It focuses on training kids to score 100% on tests, while kids who score below 90% get expelled. In such an environment, Shi Dae and Hee Jae spend their teenage years and grow together.</p>	8
<p>Comedians comment on pedestrians and casual passers-by from the world's smallest commentator box.</p>	2
<p>During the Yin Dynasty, Dong Yue, a brave general in the Dingyuan Rebellion, was sent back in time to stop a war that would claim the lives of countless innocents. She sets out to murder corrupted officer Lu Yuantong in an attempt to prevent war, and during her journey she met Feng Xi and Pang Yu. Pang Yu and Feng Xi were old friends who cared deeply for each other, but fell out and turn into enemies. While trying to reconcile the two brothers, Dong Yue also tries to stop Lu Yuantang's evil schemes which are poised to tear the nation apart with their help.</p>	2
Other values (49)	57

Length

Max length	807
Median length	505
Mean length	312.2906977
Min length	3

Characters and Unicode

Total characters	26857
Distinct characters	96
Distinct categories	11 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	41 ?
Unique (%)	47.7%

Sample

1st row	nan
2nd row	<p><b>Мужская тема</b> is a symbiosis of talk shows and modern podcasts, where male celebrities answer questions that concern people in the XXI century. Bright representatives of show business, theater, pop, cinema, sports, as well as Internet stars meet in the barbershop. Here, on male territory, they can openly discuss a variety of topics, sometimes seriously, and sometimes with humor. This is a chance to see the idol in a confidential communication without notes, compare his opinion with your own and hear what men really talk about when there is not a single girl around.</p>
3rd row	<p>One will to create oceans. One will to summon the mulberry fields.<br /><br />One will to slaughter countless devils. One will to eradicate innumerable immortals.<br /><br />Only my will… is eternal.<br /><br />A Will Eternal tells the tale of Bai Xiaochun, an endearing but exasperating young man who is driven primarily by his fear of death and desire to live forever, but who deeply values friendship and family.<br /><br />(Source: Novel Updates)</p>
4th row	<p>Da Eun works part-time and Kim Byul is an idol in her 5th years since debut. These two girls who look alike decide to change each other's lives just for 7 days. It tells the romantic encounters of these 2 girls.</p>
5th row	<p><b>Half-Fifty</b> is a comedy drama about youth and growth, and the series follows a group of 25-year-olds who end up in the world of YouTubers.</p>

Common Values

Value	Count	Frequency (%)
nan	9	10.5%
<p><b>Half-Fifty</b> is a comedy drama about youth and growth, and the series follows a group of 25-year-olds who end up in the world of YouTubers.</p>	8	9.3%
<p><b>100% Era</b> imagines the post-corona future. How the lives of kids born during the pandemic will look like? What will humanity and teens look like in 2044? Our teenagers living in a more competitive world, where the world no longer needs human hands. For humans, the competition to rise to the top is intensifying. How to secretly love children in the era when schools disappeared and contactless. Hee Jae and Shi Dae attend the same top rank education academy. It focuses on training kids to score 100% on tests, while kids who score below 90% get expelled. In such an environment, Shi Dae and Hee Jae spend their teenage years and grow together.</p>	8	9.3%
<p>Comedians comment on pedestrians and casual passers-by from the world's smallest commentator box.</p>	2	2.3%
<p>During the Yin Dynasty, Dong Yue, a brave general in the Dingyuan Rebellion, was sent back in time to stop a war that would claim the lives of countless innocents. She sets out to murder corrupted officer Lu Yuantong in an attempt to prevent war, and during her journey she met Feng Xi and Pang Yu. Pang Yu and Feng Xi were old friends who cared deeply for each other, but fell out and turn into enemies. While trying to reconcile the two brothers, Dong Yue also tries to stop Lu Yuantang's evil schemes which are poised to tear the nation apart with their help.</p>	2	2.3%
<p>Two unlikely individuals join forces to find the truth behind a series of murders using an unconventional method. Chen Si, a female detective with a sense of justice, unexpectedly becomess partners with Yuan Shuai, a dream interpreter with a dark past.</p>	2	2.3%
<p>‎At the end of the 20th century, due to the sudden decision of Xin Shensheng, gao Shan's business went bankrupt. Gao Shan wants to prove his father's innocence, but on his way suddenly falls in love with the daughter of Xin Shensheng, Tsin Waugh. Learning about the intentions of Gao Shan, Xin Shansheng makes him quit his job. ‎<br /><br />‎Gao Shan decides to go to Hong Kong to start from scratch, where he meets a benefactor and earns his first million in his life. Under the guidance of a mentor, he goes to Beijing and becomes a well-known investor. Soon Gao Shan meets Tsin Vo, who became a financial headhunter. Can love help them find their way to each other again? ‎<br /><br />‎Based on the novel by Xiao Moli "Little Storm 1.0"‎</p>	2	2.3%
<p>A story that follows two people's brave pursuit of love from their campus days to their humble beginnings as they enter the workplace to chase after their dreams together.</p>	2	2.3%
<p>A story that follows undercover cop Gan Tian Lei who spent 10 years of his life walking a gray area. After waking up from a serious injury, he restarts his life and tries to solve a case by relying on his lost memories.</p>	2	2.3%
<p>A daring, funny, and brutally honest show that covers politics, entertainment, movies, sports, and pop culture.</p>	2	2.3%
Other values (44)	47	54.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	240	5.3%
and	163	3.6%
a	133	3.0%
to	132	2.9%
of	113	2.5%
in	110	2.4%
is	40	0.9%
on	39	0.9%
who	39	0.9%
his	37	0.8%
Other values (1357)	3446	76.7%

Most occurring characters

Value	Count	Frequency (%)
	4399	16.4%
e	2570	9.6%
a	1613	6.0%
t	1609	6.0%
n	1581	5.9%
o	1569	5.8%
i	1434	5.3%
s	1348	5.0%
r	1258	4.7%
h	1013	3.8%
Other values (86)	8463	31.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	20141	75.0%
Space Separator	4406	16.4%
Uppercase Letter	817	3.0%
Other Punctuation	719	2.7%
Math Symbol	516	1.9%
Decimal Number	147	0.5%
Dash Punctuation	86	0.3%
Format	12	< 0.1%
Open Punctuation	6	< 0.1%
Close Punctuation	6	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2570	12.8%
a	1613	8.0%
t	1609	8.0%
n	1581	7.8%
o	1569	7.8%
i	1434	7.1%
s	1348	6.7%
r	1258	6.2%
h	1013	5.0%
l	838	4.2%
Other values (30)	5308	26.4%

Uppercase Letter

Value	Count	Frequency (%)
S	89	10.9%
H	74	9.1%
T	55	6.7%
A	46	5.6%
D	46	5.6%
W	46	5.6%
F	44	5.4%
Y	39	4.8%
M	37	4.5%
J	35	4.3%
Other values (17)	306	37.5%

Other Punctuation

Value	Count	Frequency (%)
.	245	34.1%
,	223	31.0%
/	138	19.2%
'	40	5.6%
%	24	3.3%
?	19	2.6%
"	18	2.5%
:	6	0.8%
!	5	0.7%
…	1	0.1%

Decimal Number

Value	Count	Frequency (%)
0	59	40.1%
2	25	17.0%
1	22	15.0%
4	16	10.9%
5	10	6.8%
9	8	5.4%
8	5	3.4%
7	2	1.4%

Dash Punctuation

Value	Count	Frequency (%)
-	78	90.7%
—	7	8.1%
–	1	1.2%

Space Separator

Value	Count	Frequency (%)
	4399	99.8%
	7	0.2%

Math Symbol

Value	Count	Frequency (%)
<	258	50.0%
>	258	50.0%

Format

Value	Count	Frequency (%)
‎	12	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	6	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	6	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	20947	78.0%
Common	5899	22.0%
Cyrillic	11	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2570	12.3%
a	1613	7.7%
t	1609	7.7%
n	1581	7.5%
o	1569	7.5%
i	1434	6.8%
s	1348	6.4%
r	1258	6.0%
h	1013	4.8%
l	838	4.0%
Other values (47)	6114	29.2%

Common

Value	Count	Frequency (%)
	4399	74.6%
<	258	4.4%
>	258	4.4%
.	245	4.2%
,	223	3.8%
/	138	2.3%
-	78	1.3%
0	59	1.0%
'	40	0.7%
2	25	0.4%
Other values (19)	176	3.0%

Cyrillic

Value	Count	Frequency (%)
а	2	18.2%
с	1	9.1%
к	1	9.1%
ж	1	9.1%
я	1	9.1%
т	1	9.1%
е	1	9.1%
м	1	9.1%
у	1	9.1%
М	1	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26800	99.8%
None	25	0.1%
Punctuation	21	0.1%
Cyrillic	11	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	4399	16.4%
e	2570	9.6%
a	1613	6.0%
t	1609	6.0%
n	1581	5.9%
o	1569	5.9%
i	1434	5.4%
s	1348	5.0%
r	1258	4.7%
h	1013	3.8%
Other values (66)	8406	31.4%

Punctuation

Value	Count	Frequency (%)
‎	12	57.1%
—	7	33.3%
…	1	4.8%
–	1	4.8%

None

Value	Count	Frequency (%)
ä	8	32.0%
	7	28.0%
ü	6	24.0%
ß	2	8.0%
å	1	4.0%
é	1	4.0%

Cyrillic

Value	Count	Frequency (%)
а	2	18.2%
с	1	9.1%
к	1	9.1%
ж	1	9.1%
я	1	9.1%
т	1	9.1%
е	1	9.1%
м	1	9.1%
у	1	9.1%
М	1	9.1%

_embedded_show_updated
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	62
Distinct (%)	72.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1630801143

Minimum	1609060726
Maximum	1652080636
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	816.0 B

Quantile statistics

Minimum	1609060726
5-th percentile	1609799896
Q1	1612570586
median	1629571716
Q3	1647813141
95-th percentile	1651754997
Maximum	1652080636
Range	43019910
Interquartile range (IQR)	35242555.25

Descriptive statistics

Standard deviation	16130453.62
Coefficient of variation (CV)	0.009891122342
Kurtosis	-1.661489052
Mean	1630801143
Median Absolute Deviation (MAD)	17093571
Skewness	-0.01198066454
Sum	1.402488983 × 10¹¹
Variance	2.60191534 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1611509168	8	9.3%
1629571716	8	9.3%
1609060726	2	2.3%
1612478145	2	2.3%
1609535141	2	2.3%
1644255222	2	2.3%
1617966832	2	2.3%
1609799896	2	2.3%
1635735179	2	2.3%
1619633499	2	2.3%
Other values (52)	54	62.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1609060726	2	2.3%
1609535141	2	2.3%
1609799896	2	2.3%
1610890340	1	1.2%
1611189179	1	1.2%
1611436842	1	1.2%
1611509168	8	9.3%
1612007831	1	1.2%
1612378117	1	1.2%
1612478145	2	2.3%

Value	Count	Frequency (%)
1652080636	1	1.2%
1651933962	1	1.2%
1651933209	1	1.2%
1651838647	1	1.2%
1651777316	1	1.2%
1651688041	1	1.2%
1651645684	1	1.2%
1651525002	1	1.2%
1651253356	1	1.2%
1650983676	1	1.2%

_links_self_href
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	86
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	816.0 B

https://api.tvmaze.com/episodes/1977902	1
https://api.tvmaze.com/episodes/1950369	1
https://api.tvmaze.com/episodes/1998678	1
https://api.tvmaze.com/episodes/1998676	1
https://api.tvmaze.com/episodes/1998675	1
Other values (81)	81

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	3354
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	86 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/1977902
2nd row	https://api.tvmaze.com/episodes/2015818
3rd row	https://api.tvmaze.com/episodes/1964000
4th row	https://api.tvmaze.com/episodes/1995405
5th row	https://api.tvmaze.com/episodes/2007760

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	1.2%
https://api.tvmaze.com/episodes/1950369	1	1.2%
https://api.tvmaze.com/episodes/1998678	1	1.2%
https://api.tvmaze.com/episodes/1998676	1	1.2%
https://api.tvmaze.com/episodes/1998675	1	1.2%
https://api.tvmaze.com/episodes/1998674	1	1.2%
https://api.tvmaze.com/episodes/1998673	1	1.2%
https://api.tvmaze.com/episodes/1997815	1	1.2%
https://api.tvmaze.com/episodes/1997814	1	1.2%
https://api.tvmaze.com/episodes/2083331	1	1.2%
Other values (76)	76	88.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	1.2%
https://api.tvmaze.com/episodes/2324429	1	1.2%
https://api.tvmaze.com/episodes/1995405	1	1.2%
https://api.tvmaze.com/episodes/2007760	1	1.2%
https://api.tvmaze.com/episodes/1985789	1	1.2%
https://api.tvmaze.com/episodes/2039622	1	1.2%
https://api.tvmaze.com/episodes/2039623	1	1.2%
https://api.tvmaze.com/episodes/2324427	1	1.2%
https://api.tvmaze.com/episodes/2324428	1	1.2%
https://api.tvmaze.com/episodes/2015837	1	1.2%
Other values (76)	76	88.4%

Most occurring characters

Value	Count	Frequency (%)
/	344	10.3%
p	258	7.7%
s	258	7.7%
e	258	7.7%
t	258	7.7%
o	172	5.1%
a	172	5.1%
i	172	5.1%
.	172	5.1%
m	172	5.1%
Other values (16)	1118	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2150	64.1%
Other Punctuation	602	17.9%
Decimal Number	602	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	258	12.0%
s	258	12.0%
e	258	12.0%
t	258	12.0%
o	172	8.0%
a	172	8.0%
i	172	8.0%
m	172	8.0%
h	86	4.0%
d	86	4.0%
Other values (3)	258	12.0%

Decimal Number

Value	Count	Frequency (%)
9	109	18.1%
2	92	15.3%
1	81	13.5%
3	57	9.5%
0	55	9.1%
8	50	8.3%
6	44	7.3%
4	41	6.8%
7	38	6.3%
5	35	5.8%

Other Punctuation

Value	Count	Frequency (%)
/	344	57.1%
.	172	28.6%
:	86	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2150	64.1%
Common	1204	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	344	28.6%
.	172	14.3%
9	109	9.1%
2	92	7.6%
:	86	7.1%
1	81	6.7%
3	57	4.7%
0	55	4.6%
8	50	4.2%
6	44	3.7%
Other values (3)	114	9.5%

Latin

Value	Count	Frequency (%)
p	258	12.0%
s	258	12.0%
e	258	12.0%
t	258	12.0%
o	172	8.0%
a	172	8.0%
i	172	8.0%
m	172	8.0%
h	86	4.0%
d	86	4.0%
Other values (3)	258	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3354	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	344	10.3%
p	258	7.7%
s	258	7.7%
e	258	7.7%
t	258	7.7%
o	172	5.1%
a	172	5.1%
i	172	5.1%
.	172	5.1%
m	172	5.1%
Other values (16)	1118	33.3%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
0	2179614	https://www.tvmaze.com/episodes/2179614/kontakty-1x31-kontakty-v-telefone-eldara-dzarahova-morgenshtern-slava-marlow-basta-dana-poperecnyj	КОНТАКТЫ в телефоне Эльдара Джарахова: Morgenshtern, Slava Marlow, Баста, Даня Поперечный	1.0	31.0	regular	2020-12-23	12:00	2020-12-23T00:00:00+00:00	36.0	nan	49630	https://www.tvmaze.com/shows/49630/kontakty	Контакты	Game Show	Russian	[]	Running	30.0	41.0	2019-04-03	nan	https://www.youtube.com/playlist?list=PLZ1FUdedsrSJubWkFFh5vKHzawzQk1mYI	53.0	nan	nan	1.651688e+09	https://api.tvmaze.com/episodes/1977902
1	1988015	https://www.tvmaze.com/episodes/1988015/muzskaa-tema-1x04-seria-4	Серия 4	1.0	4.0	regular	2020-12-23	12:00	2020-12-23T00:00:00+00:00	30.0	nan	52520	https://www.tvmaze.com/shows/52520/muzskaa-tema	Мужская тема	Talk Show	Russian	[]	Ended	30.0	30.0	2020-12-17	2020-12-25	https://www.ivi.ru/watch/muzhskaya-tema	3.0	nan	<p><b>Мужская тема</b> is a symbiosis of talk shows and modern podcasts, where male celebrities answer questions that concern people in the XXI century. Bright representatives of show business, theater, pop, cinema, sports, as well as Internet stars meet in the barbershop. Here, on male territory, they can openly discuss a variety of topics, sometimes seriously, and sometimes with humor. This is a chance to see the idol in a confidential communication without notes, compare his opinion with your own and hear what men really talk about when there is not a single girl around.</p>	1.616723e+09	https://api.tvmaze.com/episodes/2015818
2	2095629	https://www.tvmaze.com/episodes/2095629/yi-nian-yong-heng-1x22-episode-22	Episode 22	1.0	22.0	regular	2020-12-23	10:00	2020-12-23T02:00:00+00:00	19.0	nan	49652	https://www.tvmaze.com/shows/49652/yi-nian-yong-heng	Yi Nian Yong Heng	Animation	Chinese	['Comedy', 'Action', 'Anime', 'Fantasy']	Running	19.0	19.0	2020-08-12	nan	https://v.qq.com/detail/w/ww18u675tfmhas6.html	17.0	nan	<p>One will to create oceans. One will to summon the mulberry fields.<br /><br />One will to slaughter countless devils. One will to eradicate innumerable immortals.<br /><br />Only my will… is eternal.<br /><br />A Will Eternal tells the tale of Bai Xiaochun, an endearing but exasperating young man who is driven primarily by his fear of death and desire to live forever, but who deeply values friendship and family.<br /><br />(Source: Novel Updates)</p>	1.649494e+09	https://api.tvmaze.com/episodes/1964000
3	1993657	https://www.tvmaze.com/episodes/1993657/7-days-of-romance-2x02-episode-2	Episode 2	2.0	2.0	regular	2020-12-23	nan	2020-12-23T03:00:00+00:00	15.0	nan	44276	https://www.tvmaze.com/shows/44276/7-days-of-romance	7 Days of Romance	Scripted	Korean	['Drama', 'Romance']	Ended	NaN	15.0	2019-10-08	2021-01-20	nan	82.0	nan	<p>Da Eun works part-time and Kim Byul is an idol in her 5th years since debut. These two girls who look alike decide to change each other's lives just for 7 days. It tells the romantic encounters of these 2 girls.</p>	1.650034e+09	https://api.tvmaze.com/episodes/1995405
4	2015712	https://www.tvmaze.com/episodes/2015712/half-fifty-1x01-episode-1	Episode 1	1.0	1.0	regular	2020-12-23	nan	2020-12-23T03:00:00+00:00	17.0	nan	53101	https://www.tvmaze.com/shows/53101/half-fifty	Half-Fifty	Scripted	Korean	['Drama', 'Comedy']	Ended	17.0	17.0	2020-12-23	2020-12-23	nan	19.0	nan	<p><b>Half-Fifty</b> is a comedy drama about youth and growth, and the series follows a group of 25-year-olds who end up in the world of YouTubers.</p>	1.611509e+09	https://api.tvmaze.com/episodes/2007760
5	2015713	https://www.tvmaze.com/episodes/2015713/half-fifty-1x02-episode-2	Episode 2	1.0	2.0	regular	2020-12-23	nan	2020-12-23T03:00:00+00:00	17.0	nan	53101	https://www.tvmaze.com/shows/53101/half-fifty	Half-Fifty	Scripted	Korean	['Drama', 'Comedy']	Ended	17.0	17.0	2020-12-23	2020-12-23	nan	19.0	nan	<p><b>Half-Fifty</b> is a comedy drama about youth and growth, and the series follows a group of 25-year-olds who end up in the world of YouTubers.</p>	1.611509e+09	https://api.tvmaze.com/episodes/1985789
6	2015714	https://www.tvmaze.com/episodes/2015714/half-fifty-1x03-episode-3	Episode 3	1.0	3.0	regular	2020-12-23	nan	2020-12-23T03:00:00+00:00	17.0	nan	53101	https://www.tvmaze.com/shows/53101/half-fifty	Half-Fifty	Scripted	Korean	['Drama', 'Comedy']	Ended	17.0	17.0	2020-12-23	2020-12-23	nan	19.0	nan	<p><b>Half-Fifty</b> is a comedy drama about youth and growth, and the series follows a group of 25-year-olds who end up in the world of YouTubers.</p>	1.611509e+09	https://api.tvmaze.com/episodes/2039622
7	2015715	https://www.tvmaze.com/episodes/2015715/half-fifty-1x04-episode-4	Episode 4	1.0	4.0	regular	2020-12-23	nan	2020-12-23T03:00:00+00:00	17.0	nan	53101	https://www.tvmaze.com/shows/53101/half-fifty	Half-Fifty	Scripted	Korean	['Drama', 'Comedy']	Ended	17.0	17.0	2020-12-23	2020-12-23	nan	19.0	nan	<p><b>Half-Fifty</b> is a comedy drama about youth and growth, and the series follows a group of 25-year-olds who end up in the world of YouTubers.</p>	1.611509e+09	https://api.tvmaze.com/episodes/2039623
8	2015716	https://www.tvmaze.com/episodes/2015716/half-fifty-1x05-episode-5	Episode 5	1.0	5.0	regular	2020-12-23	nan	2020-12-23T03:00:00+00:00	17.0	nan	53101	https://www.tvmaze.com/shows/53101/half-fifty	Half-Fifty	Scripted	Korean	['Drama', 'Comedy']	Ended	17.0	17.0	2020-12-23	2020-12-23	nan	19.0	nan	<p><b>Half-Fifty</b> is a comedy drama about youth and growth, and the series follows a group of 25-year-olds who end up in the world of YouTubers.</p>	1.611509e+09	https://api.tvmaze.com/episodes/2324427
9	2015717	https://www.tvmaze.com/episodes/2015717/half-fifty-1x06-episode-6	Episode 6	1.0	6.0	regular	2020-12-23	nan	2020-12-23T03:00:00+00:00	17.0	nan	53101	https://www.tvmaze.com/shows/53101/half-fifty	Half-Fifty	Scripted	Korean	['Drama', 'Comedy']	Ended	17.0	17.0	2020-12-23	2020-12-23	nan	19.0	nan	<p><b>Half-Fifty</b> is a comedy drama about youth and growth, and the series follows a group of 25-year-olds who end up in the world of YouTubers.</p>	1.611509e+09	https://api.tvmaze.com/episodes/2324428

Last rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
76	2192626	https://www.tvmaze.com/episodes/2192626/diti-proti-zirok-2x12-vypusk-12-slava-kaminskaa-dasa-astafeva-efim-konstantinovskij	Выпуск 12 (Слава Каминская, Даша Астафьева, Ефим Константиновский)	2.0	12.0	regular	2020-12-23	19:00	2020-12-23T17:00:00+00:00	90.0	nan	44675	https://www.tvmaze.com/shows/44675/diti-proti-zirok	Діти проти зірок	Game Show	Ukrainian	['Action', 'Family']	Running	90.0	90.0	2019-09-25	nan	https://novy.tv/ua/deti-protiv-zvezd/	21.0	{'name': 'Ukraine', 'code': 'UA', 'timezone': 'Europe/Zaporozhye'}	nan	1.640953e+09	https://api.tvmaze.com/episodes/1949335
77	1992698	https://www.tvmaze.com/episodes/1992698/fightlore-1x06-the-pride-of-sakuraba	The Pride of Sakuraba	1.0	6.0	regular	2020-12-23	nan	2020-12-23T17:00:00+00:00	22.0	<p>In the glory days of Japan's over-the-top MMA events, Kazushi Sakuraba embodied the samurai spirit of PRIDE Fighting Championship. Athletes, personalities and "The Gracie Hunter" himself tell how a pro wrestler became a superstar in the PRIDE ring.</p>	48237	https://www.tvmaze.com/shows/48237/fightlore	FightLore	Variety	English	['Comedy', 'Sports']	Running	25.0	25.0	2020-04-18	nan	https://ufcfightpass.com/home	70.0	nan	<p>A series focused on untold stories across UFC.</p>	1.648443e+09	https://api.tvmaze.com/episodes/1949336
78	2008334	https://www.tvmaze.com/episodes/2008334/for-the-love-of-jason-1x06-new-beginnings	New Beginnings	1.0	6.0	regular	2020-12-23	nan	2020-12-23T17:00:00+00:00	23.0	<p>Jason and Cody celebrate their new business along with the rest of the gang, who each have exciting news of their own, but there are many surprises that will follow them along the way. Jason gets news that could change his life in more ways than one.</p>	51899	https://www.tvmaze.com/shows/51899/for-the-love-of-jason	For the Love of Jason	Scripted	English	['Drama']	Running	NaN	25.0	2020-11-19	nan	https://allblk.tv/fortheloveofjason/	41.0	nan	<p>Jason has always had it together. He's educated and financially stable with no baby mama drama. When he broke off his longtime relationship, he got caught up in the bachelor lifestyle, not realizing life was passing him by. One by one, his friends start settling down, leaving Jason the odd man out. He now feels pressure to catch up and finds himself in awkward dating encounters with women. Through it all, his friends are there to help him along the way.</p>	1.646530e+09	https://api.tvmaze.com/episodes/1996786
79	2135012	https://www.tvmaze.com/episodes/2135012/dimension-20-7x07-parade-of-peril	Parade of Peril	7.0	7.0	regular	2020-12-23	nan	2020-12-23T17:00:00+00:00	NaN	nan	56531	https://www.tvmaze.com/shows/56531/dimension-20	Dimension 20	Game Show	English	['Comedy', 'Adventure', 'Fantasy']	Running	NaN	NaN	2018-09-12	nan	https://www.dropout.tv/dimension-20	77.0	nan	<p>Heed the call of adventure and enter <b>Dimension 20</b> where Game Master Brennan Lee Mulligan, joined by comedians and pro gamers, blends comedy with tabletop RPGs.</p>	1.651253e+09	https://api.tvmaze.com/episodes/1955318
80	1977418	https://www.tvmaze.com/episodes/1977418/goede-tijden-slechte-tijden-31x67-aflevering-6322	Aflevering 6322	31.0	67.0	regular	2020-12-23	20:00	2020-12-23T19:00:00+00:00	23.0	nan	2504	https://www.tvmaze.com/shows/2504/goede-tijden-slechte-tijden	Goede Tijden, Slechte Tijden	Scripted	Dutch	['Drama', 'Romance']	Running	23.0	25.0	1990-10-01	nan	http://gtst.nl/#!/	77.0	nan	nan	1.651839e+09	https://api.tvmaze.com/episodes/1996399
81	1983826	https://www.tvmaze.com/episodes/1983826/ghosts-s02-special-the-ghost-of-christmas	The Ghost of Christmas	2.0	NaN	significant_special	2020-12-23	20:30	2020-12-23T20:30:00+00:00	30.0	<p>It's Christmas at Button House, and Mike is determined to make it perfect for his family. Alison is also determined to deliver the best Christmas ever for the living and the dead, although the latter aren't filled with festive cheer. Christmas just isn't that much fun when you're deceased. But when Julian is confronted with past wrongs, he has a revelation that could help the ghosts rediscover the real message of Christmas.</p>	38241	https://www.tvmaze.com/shows/38241/ghosts	Ghosts	Scripted	English	['Comedy', 'Supernatural']	Running	30.0	30.0	2019-04-15	nan	https://www.bbc.co.uk/programmes/m00049t9	98.0	nan	<p>The crumbling country pile of Button Hall is home to numerous restless spirits who have died there over the centuries - each ghost very much a product of their time, resigned to squabbling with each other for eternity over the most inane of daily gripes. But their lives - or, rather, afterlives - are thrown into turmoil when a young urban couple - Alison and Mike - surprisingly inherit the peaceful derelict house and make plans to turn it into a bustling family hotel. As the ghosts attempt to oust the newcomers from their home, and Mike and Alison discover the true scale of the project they've taken on, fate conspires to trap both sides in an impossible house share, where every day is, literally, a matter of life and death.</p>	1.651525e+09	https://api.tvmaze.com/episodes/2042003
82	1979338	https://www.tvmaze.com/episodes/1979338/motherland-s02-special-christmas-special	Christmas Special	2.0	NaN	significant_special	2020-12-23	21:00	2020-12-23T21:00:00+00:00	30.0	<p>In Motherland, Christmas comes but once a year, and thank God for that, because it's time for Amanda's annual festive soiree (dress code: tinsel and tiaras). Nothing says Christmas like evil Santa, a thirty foot Christmas tree, Anne's Christmas cocktails and very strict rules about where you can and can't drink mulled wine.</p>	32680	https://www.tvmaze.com/shows/32680/motherland	Motherland	Scripted	English	['Comedy']	To Be Determined	30.0	30.0	2017-11-07	nan	http://www.bbc.co.uk/programmes/p05j1jkp	92.0	nan	<p><b>Motherland</b> is a series all about navigating the trials and traumas of motherhood, looking at the competitive and unromantic sides of parenting.</p>	1.645006e+09	https://api.tvmaze.com/episodes/1996689
83	1990502	https://www.tvmaze.com/episodes/1990502/king-gary-s01-special-christmas-special	Christmas Special	1.0	NaN	significant_special	2020-12-23	22:00	2020-12-23T22:00:00+00:00	35.0	<p>In this festive special, Gray is looking forward to the Butterchurn Crescent Christmas lights display, which he hopes will brighten up the end of a difficult year - only for the event to be cancelled due to expense. Having landed a lucrative new contract at work, he takes it upon himself to save the lights - and Christmas.</p>	45487	https://www.tvmaze.com/shows/45487/king-gary	King Gary	Scripted	English	['Comedy']	Running	30.0	30.0	2020-01-10	nan	https://www.bbc.co.uk/programmes/p07w7686	76.0	nan	<p><b>King Gary</b> follows Gary King and love-of-his life, Terri as they bowl through family-life in suburbia. Gary's quest to impress the neighbours and fill dad, Big Gary's big shoes, might be more successful if he wasn't such a drama-queen but there's always a lot of love around in Butterchurn Crescent.</p>	1.638563e+09	https://api.tvmaze.com/episodes/1950703
84	1958868	https://www.tvmaze.com/episodes/1958868/wwe-nxt-14x52-main-event-adam-cole-vs-velveteen-dream	Main Event: Adam Cole vs. Velveteen Dream	14.0	52.0	regular	2020-12-23	20:00	2020-12-24T01:00:00+00:00	126.0	nan	2266	https://www.tvmaze.com/shows/2266/wwe-nxt	WWE NXT	Sports	English	[]	Running	120.0	75.0	2010-02-23	nan	http://www.wwe.com/inside/networkschedule	88.0	nan	<p>Each Wednesday at 8:00 p.m. ET, WWE Superstars and Divas of tomorrow face off on <b>WWE NXT</b><i>,</i> a one-hour weekly show that features the brightest and best of WWE's rising stars. WWE NXT showcases the Superstars and Divas from WWE's Performance Center as well as appearances from WWE Superstars and Legends in an intimate setting. WWE NXT broadcasts from the state-of-the-art Full Sail LIVE venue on the Full Sail University in campus in Orlando, Florida.</p>	1.651646e+09	https://api.tvmaze.com/episodes/2050241
85	1945147	https://www.tvmaze.com/episodes/1945147/noblesse-1x12-that-all-may-be-as-it-should-be-execution	That All May Be as It Should Be / Execution	1.0	12.0	regular	2020-12-23	00:00	2020-12-24T05:00:00+00:00	25.0	<p>As Raizel heads towards the sanctuary, his path is blocked by a powerful enemy. Meanwhile, Seira, who had been imprisoned, tries to escape to prevent Gejutel's being forced into eternal sleep. In order to protect Seira and Gejutel, Raizel and the others have to fight their own fierce battles. Can they save Seira and Gejutel?</p>	49732	https://www.tvmaze.com/shows/49732/noblesse	Noblesse	Animation	Japanese	['Anime', 'Supernatural']	Ended	25.0	25.0	2015-12-04	2020-12-30	https://noblesse-anime.com/	44.0	nan	<p>Raizel awakens from his 820-year slumber. He holds the special title of Noblesse, a pure-blooded Noble and protector of all other Nobles. In an attempt to protect Raizel, his servant Frankenstein enrolls him at Ye Ran High School, where Raizel learns the simple and quotidian routines of the human world through his classmates. However, the Union, a secret society plotting to take over the world, dispatches modified humans and gradually encroaches on Raizel's life, causing him to wield his mighty power to protect those around him... After 820 years of intrigue, the secrets behind his slumber are finally revealed, and Raizel's absolute protection as the Noblesse begins!</p>	1.648717e+09	https://api.tvmaze.com/episodes/1970536

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Close Punctuation

Open Punctuation

Math Symbol

Most occurring scripts

Most frequent character per script

Cyrillic

Latin

Hangul

Common

Most occurring blocks

Most frequent character per block

ASCII

Cyrillic

Hangul

None

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number